Svetha Venkatesh

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Film grammar based refinements to extracting scenes in motion pictures

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise

Svetha Venkatesh, Duc-Son Pham, S. Venkatesh, 2012, IEEE Transactions on Image Processing.

Study of shot length and motion as contributing factors to movie tempo (poster session)

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2000, ACM Multimedia.

Context aware privacy in visual surveillance

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2008, 2008 19th International Conference on Pattern Recognition.

Using camera motion to identify types of American football plays

Svetha Venkatesh, Mihai Lazarescu, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Segmentation of intentional human gestures for sports video annotation

Svetha Venkatesh, Geoff A. W. West, Graeme S. Chambers, 2004, 10th International Multimedia Modelling Conference, 2004. Proceedings..

Automatic Fitting of a Deformable Face Mask Using a Single Image

Svetha Venkatesh, Tele Tan, Annika Kuhl, 2009, MIRAGE.

Temporal semantic compression for video browsing

Svetha Venkatesh, Brett Adams, Stewart Greenhill, 2008, IUI '08.

Hypothesis Verification Using Parametric Models and Active Vision Strategies

Svetha Venkatesh, Geoff A. W. West, Chiou Peng Lam, 1997, Comput. Vis. Image Underst..

Outlier Detection on Mixed-Type Data: An Energy-Based Approach

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, ADMA.

High level segmentation of instructional videos based on content density

Svetha Venkatesh, Chitra Dorai, Dinh Q. Phung, 2002, MULTIMEDIA '02.

Conceptual Representation for Multimedia Information

Svetha Venkatesh, Roger W. Smith, Dorota H. Kieronska, 1997, Int. J. Pattern Recognit. Artif. Intell..

Extracting Common Subtrees from Decision Trees

Svetha Venkatesh, Terry Caelli, Mihai Lazarescu, 1998, Int. J. Pattern Recognit. Artif. Intell..

High accuracy context recovery using clustering mechanisms

Mohan Kumar, Svetha Venkatesh, Brett Adams, 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

Efficient and accurate set-based registration of time-separated aerial images

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2015, Pattern Recognit..

Active verification of emerging hypotheses using function based geometric models

Svetha Venkatesh, Geoff West, P. Lam, 1993 .

A Spectral Slit Approach to Doubletalk Detection

Sven Nordholm, Svetha Venkatesh, Siow Yong Low, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Using dynamic time warping for online temporal fusion in multisensor systems

Mohan Kumar, Svetha Venkatesh, Geoff A. W. West, 2008, Inf. Fusion.

Preference Networks: Probabilistic Models for Recommendation Systems pdf

Svetha Venkatesh, Dinh Q. Phung, Tran The Truyen, 2007, AusDM.

Director in your pocket: holistic help for the hapless home videographer

Svetha Venkatesh, Brett Adams, 2004, MULTIMEDIA '04.

Information-Theoretic Transfer Learning Framework for Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, ECML/PKDD.

Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2005, EURASIP J. Adv. Signal Process..

Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2013, PAKDD.

Unified formulation of linear discriminant analysis methods and optimal parameter selection

Hong Yan, Svetha Venkatesh, Wanquan Liu, 2011, Pattern Recognit..

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models pdf

Svetha Venkatesh, Hung Hai Bui, Tran The Truyen, 2014, ArXiv.

Dynamic privacy assessment in a smart house environment using multimodal sensing

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2008, TOMCCAP.

A Framework for the design of privacy preserving pervasive healthcare

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Combining image regions and human activity for indirect object recognition in indoor wide-angle views

Svetha Venkatesh, Geoff A. W. West, Patrick Peursum, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Multi-View Subspace Clustering for Face Images

Svetha Venkatesh, Duc-Son Pham, Wanquan Liu, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Online audio background determination for complex audio environments

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2007, TOMCCAP.

Hyper-community detection in the blogosphere

Svetha Venkatesh, Truyen Tran, Brett Adams, 2010, WSM@MM.

Learning deep representation of multityped objects and tasks pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, ArXiv.

Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes

Svetha Venkatesh, Dinh Q. Phung, Vu Nguyen, 2016, PAKDD Workshops.

A Study on Smoothing for Particle-Filtered 3D Human Body Tracking

Svetha Venkatesh, Geoff A. W. West, Patrick Peursum, 2010, International Journal of Computer Vision.

Hierarchical monitoring of people's behaviors in complex environments using multiple cameras

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2002, Object recognition supported by user interaction for service robots.

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2017, International Journal of Data Science and Analytics.

A distributed directory scheme for information access in mobile computers

Mohan Kumar, Sethuraman Panchanathan, Svetha Venkatesh, 1996, Proceedings of 3rd International Conference on High Performance Computing (HiPC).

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint

Wei Luo, Svetha Venkatesh, Tu Dinh Nguyen, 2018, ECML/PKDD.

Performance modelling of speculative prefetching for compound requests in low bandwidth networks

Mohan Kumar, Svetha Venkatesh, Nor Jaidi Tuah, 2000, WOWMOM '00.

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, Knowledge and Information Systems.

A flexible transfer learning framework for Bayesian optimization with convergence guarantee

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2019, Expert Syst. Appl..

Classifying and Learning Cricket Shots Using Camera Motion

Svetha Venkatesh, Geoff A. W. West, Mihai Lazarescu, 1999, Australian Joint Conference on Artificial Intelligence.

Energy-Based Localized Anomaly Detection in Video Surveillance

Svetha Venkatesh, Tu Dinh Nguyen, Dinh Q. Phung, 2017, PAKDD.

A new transfer learning framework with application to model-agnostic multi-task learning

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2016, Knowledge and Information Systems.

Academia versus social media: A psycho-linguistic analysis

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2017, J. Comput. Sci..

Learning image attributes for tracking complex objects

Svetha Venkatesh, Geoff West, C. Chisholm, 1997 .

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

Svetha Venkatesh, Dinh Q. Phung, Nguyen Cong Thuong, 2013, 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Permutation Models for Collaborative Ranking pdf

Svetha Venkatesh, Truyen Tran, S. Venkatesh, 2014, ArXiv.

Infrequent Item Mining in Multiple Data Streams

Svetha Venkatesh, Mihai Lazarescu, Budhaditya Saha, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

On the automatic indexing of cricket using camera motion parameters

Svetha Venkatesh, Geoff A. W. West, Mihai Lazarescu, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

Sparse Subspace Representation for Spectral Document Clustering

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2012, 2012 IEEE 12th International Conference on Data Mining.

Role of shot length in characterizing tempo and dramatic story sections in motion pictures

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2000 .

Determining Motion Components Using the Point Distribution Model

Svetha Venkatesh, Geoff A. W. West, Ezra Tassone, 2000, ICMI.

Stabilized sparse ordinal regression for medical risk stratification

Wei Luo, Svetha Venkatesh, Truyen Tran, 2014, Knowledge and Information Systems.

Learning Hierarchical Hidden Markov Models with General State Hierarchy

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2004, AAAI.

Symbolic representation and distributed matching strategies for schematics

Svetha Venkatesh, Geoff A. W. West, Terry Caelli, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Hyperparameter tuning for big data using Bayesian optimisation

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Implementing geometric hashing on the dec mpp 12000

Svetha Venkatesh, Geoff West, M. Leishman, 1993 .

Graph-induced restricted Boltzmann machines for document modeling

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2016, Inf. Sci..

Prescriptive Analytics Through Constrained Bayesian Optimization

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, PAKDD.

Mood sensing from social media texts and its applications

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2013, Knowledge and Information Systems.

Obtaining function models using active vision strategies

Svetha Venkatesh, Geoff West, Chiou Peng Lam, 1999 .

Emotional Reactions to Real-World Events in Social Networks

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, PAKDD Workshops.

Improved fade and dissolve detection for reliable video segmentation

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2004, PRICAI.

Exploiting Strategy-Space Diversity for Batch Bayesian Optimization

Svetha Venkatesh, Alistair Shilton, Santu Rana, 2018, AISTATS.

Collaborative filtering via sparse Markov random fields pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, Inf. Sci..

Multi-class Pattern Classification in Imbalanced Data

Svetha Venkatesh, Geoff A. W. West, Amal Saleh Ghanem, 2010, 2010 20th International Conference on Pattern Recognition.

Intervention-Driven Predictive Framework for Modeling Healthcare Data

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2014, PAKDD.

Sparse Subspace Clustering via Group Sparse Coding

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2013, SDM.

Hierarchical topical segmentation in instructional films based on cinematic expressive functions

Svetha Venkatesh, Chitra Dorai, Dinh Q. Phung, 2003, MULTIMEDIA '03.

Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis

Svetha Venkatesh, Geoff A. W. West, Patrick Peursum, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Discovery of Activity Structures using the Hierarchical Hidden Markov Model

Svetha Venkatesh, Nam Nguyen, S. Venkatesh, 2005, BMVC.

Formulating Film Tempo

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2002 .

Face Recognition via the Overlapping Energy Histogram

Svetha Venkatesh, Wanquan Liu, Ronny Tjahyadi, 2007, IJCAI.

An innovative face image enhancement based on principle component analysis

Svetha Venkatesh, Wanquan Liu, Xiang Xu, 2011, International Journal of Machine Learning and Cybernetics.

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data

Wei Luo, Svetha Venkatesh, Truyen Tran, 2016, MLHC.

Pedestrian detection for mobile bus surveillance

Svetha Venkatesh, Tele Tan, Wilson S. Leoputra, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Insect inspired behaviours for the autonomous control of mobile robots

Svetha Venkatesh, Mandyam V. Srinivasan, Keven Weber, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Formation of a geometric pattern with a mobile wireless sensor network

Mohan Kumar, Svetha Venkatesh, Justin Lee, 2004, J. Field Robotics.

Utility-Based Summarization of Home Videos

Ba Tu Truong, Svetha Venkatesh, 2007, MMM.

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, SDM 2011.

Effective Anomaly Detection in Sensor Networks Data Streams

Svetha Venkatesh, Duc-Son Pham, Mihai Lazarescu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

A cooperative cache architecture in support of caching multimedia objects in MANETs

Mohan Kumar, Svetha Venkatesh, W. H. O. Lau, 2002, WOWMOM '02.

High Dimensional Bayesian Optimization using Dropout

Cheng Li, Svetha Venkatesh, Alistair Shilton, 2018, IJCAI.

From Living Eyes to Seeing Machines

Svetha Venkatesh, Venkatesh V. Srinivasan, S. Venkatesh, 1997 .

Face recognition via incremental 2DPCA

Svetha Venkatesh, Wanquan Liu, Senjian An, 2007, IJCAI 2007.

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2013, ICML.

Situation Description Language

Svetha Venkatesh, Adrian R. Pearce, Stewart Greenhill, 2002 .

On the extraction of thematic and dramatic functions of content in educational videos

Svetha Venkatesh, Chitra Dorai, Dinh Q. Phung, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Hierarchic Representation for Spatial Knowledge

Svetha Venkatesh, Dorota H. Kieronska, 1993, EUROCAST.

Batch Bayesian optimization using multi-scale search

Svetha Venkatesh, Santu Rana, Tinu Theckel Joy, 2020, Knowl. Based Syst..

Detection of cross-channel anomalies

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2012, Knowledge and Information Systems.

Tensor-Variate Restricted Boltzmann Machines

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2015, AAAI.

Unsupervised context detection using wireless signals

Mohan Kumar, Svetha Venkatesh, Brett Adams, 2009, Pervasive Mob. Comput..

An Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints

Svetha Venkatesh, Geoff A. W. West, Mike Robey, 1995, Comput. Vis. Image Underst..

Spatial Indexing for Video Databases

Svetha Venkatesh, Dorota H. Kieronska, Kim Shearer, 1996, J. Vis. Commun. Image Represent..

An extended frequent pattern tree for intertransaction association rule mining

Svetha Venkatesh, Geoff West, Sebastian Lühr, 2005 .

Sensing and using social context

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2008, TOMCCAP.

Exploiting side information in locality preserving projection

Svetha Venkatesh, Wanquan Liu, Senjian An, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers

Svetha Venkatesh, Wanquan Liu, Ronny Tjahyadi, 2006, Neural Processing Letters.

Resequencing of Video using Spatial Indexing

Svetha Venkatesh, Dorota H. Kieronska, Kim Shearer, 1997, J. Vis. Lang. Comput..

A probabilistic framework for tracking in wide-area environments

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Regret Bounds for Transfer Learning in Bayesian Optimisation

Svetha Venkatesh, Alistair Shilton, Santu Rana, 2017, AISTATS.

Regularized nonnegative shared subspace learning

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, Data Mining and Knowledge Discovery.

08251 Abstracts Collection - Contextual and Social Media Understanding and Usage

Mohan S. Kankanhalli, Svetha Venkatesh, Susanne Boll, 2008, Contextual and Social Media Understanding and Usage.

Video sequence matching via decision tree path following

Svetha Venkatesh, Horst Bunke, Kim Shearer, 2001, Pattern Recognit. Lett..

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2016, Knowl. Based Syst..

Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Novel approach to determining tempo and dramatic story sections in motion pictures

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Object labelling from human action recognition

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

General purpose viewpoint prediction algorithm

Svetha Venkatesh, Geoff West, M. Robey, 1991 .

Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2014, IEEE Transactions on Circuits and Systems for Video Technology.

Statistical Latent Space Approach for Mixed Data Modelling and Applications pdf

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2017, ArXiv.

Attentional multilabel learning over graphs: a message passing approach

Svetha Venkatesh, Truyen Tran, Kien Do, 2018, Machine Learning.

Flexible Transfer Learning Framework for Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Sunil Kumar Gupta, 2016, PAKDD.

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, PAKDD.

BYou Tube and I Find(VPersonalizing Multimedia Content Access To help users find material of interest in large multimedia collections, researchers are exploring techniques to allow authors to easily capture effective descriptive data, and methods for modeling user preferences.

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2008 .

Determining Affective Events Through Film Audio

Svetha Venkatesh, Chitra Dorai, Simon Moncrieff, 2002 .

Human action segmentation via controlled use of missing data in HMMs

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Column Networks for Collective Classification

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, AAAI.

Beyond epsilon science "Where to look and how to realize new opportunities" organizer and moderator

Nalini Venkatasubramanian, Klara Nahrstedt, Svetha Venkatesh, 2011, MM 2011.

Policy Recognition in the Abstract Hidden Markov Model

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2002, J. Artif. Intell. Res..

Persistent audio modelling for background determination

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Exploiting side information in distance dependent Chinese restaurant processes for data clustering

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Computer assisted autism interventions for India

Svetha Venkatesh, Dinh Q. Phung, Stewart Greenhill, 2016, OZCHI.

Streaming Variational Inference for Dirichlet Process Mixtures

Svetha Venkatesh, Dinh Q. Phung, Viet Huynh, 2015, ACML.

Temporal PDMs for gait classification

Svetha Venkatesh, Geoff A. W. West, Ezra Tassone, 2002, Object recognition supported by user interaction for service robots.

Insect-Inspired Robotic Homing

Svetha Venkatesh, Mandyam V. Srinivasan, Keven Weber, 1999, Adapt. Behav..

Affective and Content Analysis of Online Depression Communities

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2014, IEEE Transactions on Affective Computing.

Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2012, 2012 15th International Conference on Information Fusion.

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework

Wei Luo, Cheng Li, Svetha Venkatesh, 2016, PAKDD.

A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, PAKDD.

Dynamic-threshold determination by local and global edge evaluation

Svetha Venkatesh, Paul L. Rosin, 1993, Defense, Security, and Sensing.

Emerging hypothesis verification using function-based geometric models and active vision strategies

Svetha Venkatesh, Geoff A. W. West, Chiou Peng Lam, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Low-cost interactive active range finder

Svetha Venkatesh, Geoff A. W. West, Terry Caelli, 2003, Machine Vision and Applications.

Compressive speech enhancement

Svetha Venkatesh, Duc-Son Pham, Siow Yong Low, 2013, Speech Commun..

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process

Svetha Venkatesh, Dinh Q. Phung, Nguyen Cong Thuong, 2014, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Control Matching via Discharge Code Sequences pdf

Wei Luo, Svetha Venkatesh, Dinh Q. Phung, 2016, ArXiv.

Constructing and navigating personalised views of the Web

Svetha Venkatesh, Stewart Greenhill, S. Venkatesh, 1999, Inf. Process. Manag..

Boosting performance for 2D Linear Discriminant Analysis via regression

Svetha Venkatesh, Wanquan Liu, Nam Nguyen, 2008, 2008 19th International Conference on Pattern Recognition.

Large-Scale Stylistic Analysis of Formality in Academia and Social Media

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2016, WISE.

How honeybees make grazing landings on flat surfaces

Svetha Venkatesh, Mandyam V. Srinivasan, Shao-Wu Zhang, 2000, Biological Cybernetics.

Face recognition based on ordinal correlation

Svetha Venkatesh, Wanquan Liu, Ronny Tjahyadi, 2008, Int. J. Intell. Syst. Technol. Appl..

Situation Description Language Implementation

Svetha Venkatesh, Adrian R. Pearce, Stewart Greenhill, 2002 .

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Recognition of human activity through hierarchical stochastic learning

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2015, PAKDD.

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2015, PAKDD.

Analysing the History of Autism Spectrum Disorder Using Topic Models

Svetha Venkatesh, Dinh Q. Phung, Ognjen Arandjelovic, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds

Svetha Venkatesh, Tele Tan, Thorsten Kühnapfel, 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans

Svetha Venkatesh, Dorota H. Kieronska, 1991, Fuzzy Logic and Fuzzy Control.

Social reader: following social networks in the wilds of the blogosphere

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2009, WSM '09.

From Insects to Robots

Svetha Venkatesh, Mandyam V. Srinivasan, Shao-Wu Zhang, 1999, ISER.

An integrated framework for suicide risk prediction

Wei Luo, Svetha Venkatesh, Truyen Tran, 2013, KDD.

Detection of Cross-Channel Anomalies from Multiple Data Channels

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2011, 2011 IEEE 11th International Conference on Data Mining.

A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition

Svetha Venkatesh, Wanquan Liu, Daniel E. Riedel, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

Topic transition detection using hierarchical hidden Markov and semi-Markov models

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2005, MULTIMEDIA '05.

Media-independent information representation and retrieval

Svetha Venkatesh, Dorota H. Kieronska, 1996, Electronic Imaging.

An investigation into the use of physical modelling for the prediction of various feature types visible from different view points

Svetha Venkatesh, Geoff West, A. M. Robey, 1994, Proceedings of 1994 IEEE 2nd CAD-Based Vision Workshop.

Stable Bayesian Optimization

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2017, PAKDD.

Adaptive speech enhancement with varying noise backgrounds

Sven Nordholm, Svetha Venkatesh, Tele Tan, 2008, 2008 19th International Conference on Pattern Recognition.

Model-based combined tracking and resolution enhancement

Svetha Venkatesh, Tele Tan, Annika Kuhl, 2008, 2008 19th International Conference on Pattern Recognition.

Activity recognition and abnormality detection with the switching hidden semi-Markov model

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Cascade Bayesian Optimization

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2016, Australasian Conference on Artificial Intelligence.

Multi-modal emotive computing in a smart house environment

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2007, Pervasive Mob. Comput..

On the determination of all useful object features for 3D objects using physical models

Svetha Venkatesh, Geoff West, M. Robey, 1992 .

Combining NL processing and video data to query American Football

Svetha Venkatesh, Geoff A. W. West, Terry Caelli, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Stream Quantiles via Maximal Entropy Histograms pdf

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2014, ICONIP.

Low level vision in insects, its application to robot navigation

Svetha Venkatesh, Javaan Chahl, Mandyam V. Srinivasan, 1995 .

Situated event bootstrapping and capture guidance for automated home movie authoring

Svetha Venkatesh, Brett Adams, S. Venkatesh, 2005, MULTIMEDIA '05.

Unsupervised inference of significant locations from WiFi data for understanding human dynamics

Wei Luo, Svetha Venkatesh, Dinh Q. Phung, 2014, MUM.

Probabilistic querying at multiple levels of abstraction in large spatial domains

Svetha Venkatesh, Geoff West, H. H. Bui, 1999 .

Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media

Svetha Venkatesh, Santu Rana, Thin Nguyen, 2016, ADMA.

On the Recognition of Abstract Markov Policies

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2000, AAAI/IAAI.

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data

Svetha Venkatesh, Dinh Q. Phung, Nguyen Cong Thuong, 2014, 2014 22nd International Conference on Pattern Recognition.

Function directed geometric model-based active visual strategies

Svetha Venkatesh, Geoff West, P. Lam, 1993 .

Random Subspace Two-Dimensional PCA for Face Recognition

Svetha Venkatesh, Wanquan Liu, Nam Nguyen, 2007, PCM.

Low-cost interactive active monocular range finder

Svetha Venkatesh, Geoff A. W. West, Terry Caelli, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Hierarchical recognition of intentional human gestures for sports video annotation

Svetha Venkatesh, Geoff A. W. West, Graeme S. Chambers, 2002, Object recognition supported by user interaction for service robots.

CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier

Svetha Venkatesh, Hung Hai Bui, Dorota H. Kieronska, 1999, Int. J. Cooperative Inf. Syst..

Learning Conditional Latent Structures from Multiple Data Sources

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2015, PAKDD.

Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques

Svetha Venkatesh, Horst Bunke, Mihai Lazarescu, 2000, SSPR/SPR.

Extraction of social context and application to personal multimedia exploration

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2006, MM '06.

Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2011, SDM.

Networking of multimedia women event beyond epsilon science: where to look and how to realize new opportunities

Nalini Venkatasubramanian, Klara Nahrstedt, Svetha Venkatesh, 2011, MM '11.

A Fast Extension for Sparse Representation on Robust Face Recognition

Jian-Huang Lai, Svetha Venkatesh, Duc-Son Pham, 2010, 2010 20th International Conference on Pattern Recognition.

Multilevel Anomaly Detection for Mixed Data pdf

Svetha Venkatesh, Truyen Tran, Kien Do, 2016, ArXiv.

Finding the Beat: An Analysis of the Rhythmic Elements of Motion Pictures

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2002, Int. J. Image Graph..

Interactively browsing movies in terms of action, foreshadowing and resolution

Svetha Venkatesh, Brett Adams, Stewart Greenhill, 2010, JCDL '10.

Infrequent Item Mining in Multiple Data Streams

Svetha Venkatesh, Mihai Lazarescu, Budhaditya Saha, 2007 .

Application of the DCT energy histogram for face recognition

Svetha Venkatesh, Ronny Tjahyadi, Wanquan Liu, 2004 .

Toward automatic extraction of expressive elements from motion pictures: tempo

Svetha Venkatesh, Chitra Dorai, Bill Adams, 2002, IEEE Trans. Multim..

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2015, J. Biomed. Informatics.

Determining dramatic intensification via flashing lights in movies

Ba Tu Truong, Svetha Venkatesh, B. T. Truong, 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

Analysis of Environmental Sounds as Indexical Signs in Film

Svetha Venkatesh, Chitra Dorai, Simon Moncrieff, 2001, IEEE Pacific Rim Conference on Multimedia.

Using Twitter to learn about the autism community

Svetha Venkatesh, Terry Caelli, Dinh Q. Phung, 2015, Social Network Analysis and Mining.

Kernel Pre-Training in Feature Space via m-Kernels pdf

Cheng Li, Svetha Venkatesh, Alistair Shilton, 2018, ArXiv.

Learning sparse latent representation and distance metric for image retrieval

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Automated film rhythm extraction for scene analysis

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

Svetha Venkatesh, Truyen Tran, Moussa Reda Mansour, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Data Mining of Intervention for Children with Autism Spectrum Disorder

Svetha Venkatesh, Dinh Q. Phung, Pratibha Vellanki, 2016, eHealth 360°.

Recognising online spatial activities using a bioinformatics inspired sequence alignment approach

Svetha Venkatesh, Wanquan Liu, Daniel E. Riedel, 2008, Pattern Recognit..

Model-based character recognition in low resolution

Svetha Venkatesh, Tele Tan, Annika Kuhl, 2008, 2008 15th IEEE International Conference on Image Processing.

Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization pdf

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2017, ArXiv.

Privacy and the access of information in a smart house environment

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2007, ACM Multimedia.

Learning to Reason with Relational Video Representation for Question Answering pdf

Svetha Venkatesh, Truyen Tran, Vuong Le, 2019, ArXiv.

Extraction of Film Takes for Cinematic Analysis

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2005, Multimedia Tools and Applications.

Budgeted Batch Bayesian Optimization

Cheng Li, Svetha Venkatesh, Santu Rana, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment

Wei Luo, Svetha Venkatesh, Dinh Q. Phung, 2018, Knowl. Based Syst..

A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2016, IEEE Journal of Biomedical and Health Informatics.

Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching

Ba Tu Truong, Svetha Venkatesh, B. T. Truong, 2007, MMM.

Dynamic Threshold Determination by Local and Global Edge Evaluation

Svetha Venkatesh, Paul L. Rosin, 1995, CVGIP Graph. Model. Image Process..

$\mathtt {Deepr}$: A Convolutional Net for Medical Records

Svetha Venkatesh, Nilmini Wickramasinghe, Truyen Tran, 2016, IEEE Journal of Biomedical and Health Informatics.

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2017, International Journal of Data Science and Analytics.

Stabilizing Linear Prediction Models Using Autoencoder

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, ADMA.

Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data

Svetha Venkatesh, Dinh Q. Phung, Pratibha Vellanki, 2014, 2014 22nd International Conference on Pattern Recognition.

Bridging the Semantic Gap in Content Management Systems

Svetha Venkatesh, Chitra Dorai, S. Venkatesh, 2002 .

The Hidden Permutation Model and Location-Based Activity Recognition

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2008, AAAI.

The Visitors Guide: A Simple Video Reuse Application

Svetha Venkatesh, Dorota H. Kieronska, Kim Shearer, 1997, Int. J. Pattern Recognit. Artif. Intell..

A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning pdf

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2012, UAI.

Efficient Algorithms for Robust Recovery of Images From Compressed Data

Svetha Venkatesh, Duc-Son Pham, S. Venkatesh, 2012, IEEE Transactions on Image Processing.

A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2005, Multimedia Tools and Applications.

An Embedded Suggestive Interface for Making Home Videos

Svetha Venkatesh, Brett Adams, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Adaptive depletion for improvement of MPEG video compression

Svetha Venkatesh, Geoffrey A W West, Daniel Tan, 1996, Electronic Imaging.

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach

Wei Luo, Svetha Venkatesh, Dinh Q. Phung, 2015, Australasian Conference on Artificial Intelligence.

An Immunological Approach to Raising Alarms in Video Surveillance

Svetha Venkatesh, Wanquan Liu, Lukman Sasmita, 2004, PCM.

Data clustering using side information dependent Chinese restaurant processes

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2015, Knowledge and Information Systems.

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2015, J. Biomed. Informatics.

Occlusion based motion segmentation

Svetha Venkatesh, M. Corbett, J. Cooper, 1992 .

A Privacy Preserving Bayesian Optimization with High Efficiency

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, PAKDD.

Efficient duration and hierarchical modeling for human activity recognition

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2009, Artif. Intell..

Edge detection is a projection

Svetha Venkatesh, Robyn A. Owens, John Ross, 1989, Pattern Recognit. Lett..

Spatial reasoning via active observation

Svetha Venkatesh, Stewart Smith, Dorota H. Kieronska, 1995, Appl. Artif. Intell..

Groupwise Registration of Aerial Images pdf

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2015, IJCAI.

Detecting indexical signs in film audio for scene interpretation

Svetha Venkatesh, Chitra Dorai, Simon Moncrieff, 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

Multiple hypotheses situation assessment

Svetha Venkatesh, Adrian R. Pearce, Stewart Greenhill, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

Comparative evaluation of pedestrian detection methods for mobile bus surveillance

Svetha Venkatesh, Tele Tan, Wilson S. Leoputra, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Augmenting trust establishment in dynamic systems with social networks

Mohan Kumar, Svetha Venkatesh, Mihai Lazarescu, 2010, CSIIRW '10.

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Investigation of a prefetch model for low bandwidth networks

Mohan Kumar, Svetha Venkatesh, Nor Jaidi Tuah, 1998, WOWMOM '98.

Scene extraction in motion pictures

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2003, IEEE Trans. Circuits Syst. Video Technol..

Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2014, WISE.

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

Svetha Venkatesh, Truyen Tran, Phuoc Nguyen, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

iPoll: Automatic Polling Using Online Search

Wei Luo, Svetha Venkatesh, Truyen Tran, 2014, WISE.

Towards Discovery of Influence and Personality Traits through Social Link Prediction

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, ICWSM.

Efficient subwindow search with submodular score functions

Svetha Venkatesh, Wanquan Liu, Senjian An, 2011, CVPR 2011.

Learning Boltzmann Distance Metric for Face Recognition

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2012, 2012 IEEE International Conference on Multimedia and Expo.

Analysis of psycholinguistic processes and topics in online autism communities

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Feature detection and recognition in active vision utilizing foveation in log polar space

Svetha Venkatesh, Geoff West, F. L. Lim, 1995 .

Finding Algebraic Structure of Care in Time: A Deep Learning Approach pdf

Svetha Venkatesh, Truyen Tran, Phuoc Nguyen, 2017, ArXiv.

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data

Mohan Kumar, Svetha Venkatesh, Dinh Q. Phung, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

2-D Edge Feature Extraction To Subpixel Accuracy Using The Generalized Energy Approach

Svetha Venkatesh, Geoff West, Marsudi Kisworo, 1991, TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems.

Differentially Private Prescriptive Analytics

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Indoor Location Prediction Using Multiple Wireless Received Signal Strengths

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2008, AusDM.

Knowledge Graph Embedding with Multiple Relation Projections

Svetha Venkatesh, Truyen Tran, Kien Do, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Prediction of Age, Sentiment, and Connectivity from Social Media Text

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, WISE.

Recognizing and monitoring high-level behaviors in complex spatial environments

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes

Svetha Venkatesh, Geoff A. W. West, Mihai Lazarescu, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Noetica: A Tool for Semantic Data Modelling

Svetha Venkatesh, Stewart Greenhill, 1998, Inf. Process. Manag..

Narrative structure analysis with education and training videos for e-learning

Svetha Venkatesh, Chitra Dorai, Dinh Q. Phung, 2002, Object recognition supported by user interaction for service robots.

Fast exact cross-validation of least squares support vector machines

Svetha Venkatesh, Wanquan Liu, Senjian An, 2005 .

Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2004, PRICAI.

Robot navigation inspired by principles of insect vision

Svetha Venkatesh, Mandyam V. Srinivasan, Shao-Wu Zhang, 1999, Robotics Auton. Syst..

Modelling multilevel data in multimedia: A hierarchical factor analysis approach

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2014, Multimedia Tools and Applications.

Stable clinical prediction using graph support vector machines

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Exploration Enhanced Expected Improvement for Bayesian Optimization

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2018, ECML/PKDD.

Authoring Multimedia Authoring Tools

Svetha Venkatesh, Brett Adams, Frank Nack, 2004, IEEE Multim..

Computational Media Aesthetics: Finding Meaning Beautiful

Svetha Venkatesh, Chitra Dorai, S. Venkatesh, 2001, IEEE Multim..

A context-sensitive device to help people with autism cope with anxiety

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, CHI Extended Abstracts.

High Dimensional Bayesian Optimization with Elastic Gaussian Process

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ICML.

Using multiple windows to track concept drift

Svetha Venkatesh, Mihai Lazarescu, Hung Hai Bui, 2004, Intell. Data Anal..

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets

Wei Luo, Svetha Venkatesh, Tu Dinh Nguyen, 2018, PAKDD.

Indexing narrative structure and semantics in motion pictures with a probabilistic framework

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

A nonparametric Bayesian Poisson gamma model for count data

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Recognising faces in unseen modes: A tensor based approach

Svetha Venkatesh, Wanquan Liu, Mihai Lazarescu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models

Cheng Li, Svetha Venkatesh, Dinh Q. Phung, 2014, 2014 22nd International Conference on Pattern Recognition.

A Generalised Cost-Aware Caching Scheme for Caching Continuous Media Objects in Best-Effort Network Environments

Mohan Kumar, Svetha Venkatesh, W. H. O. Lau, 2002, IWDC.

08251 Summary - Contextual and Social Media Understanding and Usage

Mohan S. Kankanhalli, Svetha Venkatesh, Susanne Boll, 2008, Contextual and Social Media Understanding and Usage.

Scalable Nonparametric Bayesian Multilevel Clustering

Svetha Venkatesh, Dinh Q. Phung, Matthew D. Hoffman, 2016, UAI.

Graph Classification via Deep Learning with Virtual Nodes pdf

Svetha Venkatesh, Truyen Tran, Khanh Hoa Dam, 2017, ArXiv.

Graph Memory Networks for Molecular Activity Prediction

Svetha Venkatesh, Truyen Tran, Trang Pham, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Stable Bayesian optimization

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, International Journal of Data Science and Analytics.

Comparing Shape and Temporal PDMs

Svetha Venkatesh, Geoff A. W. West, Ezra Tassone, 2002, SSPR/SPR.

A Bayesian Nonparametric Approach to Multilevel Regression

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2015, PAKDD.

A cache-based mobility-aware scheme for real-time continuous media delivery in wireless networks

Mohan Kumar, Svetha Venkatesh, W. H. O. Lau, 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

Nonnegative shared subspace learning and its application to social media retrieval

Svetha Venkatesh, Truyen Tran, Brett Adams, 2010, KDD.

Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Dynamic Privacy in Public Surveillance

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2009, Computer.

A Bayesian Nonparametric Approach for Multi-label Classification

Cheng Li, Svetha Venkatesh, Santu Rana, 2016, ACML.

Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation

Svetha Venkatesh, Wanquan Liu, Senjian An, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Learning Structured Outputs from Partial Labels using Forest Ensemble pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2014, ArXiv.

Viewpoint distortion compensation in practical surveillance systems pdf

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2015, ICME 2015.

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning

Svetha Venkatesh, Santu Rana, Thin Nguyen, 2016, ADMA.

Efficient algorithms for subwindow search in object detection and localization

Svetha Venkatesh, Wanquan Liu, Senjian An, 2009, CVPR 2009.

Resource-aware Speculative Prefetching in Wireless Networks

Mohan Kumar, Svetha Venkatesh, Nor Jaidi Tuah, 2003, Wirel. Networks.

A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2012, SDM.

Media computing : computational media aesthetics

Svetha Venkatesh, Chitra Dorai, 2002 .

A Framework for Coordination and Learning among Teams of Agents

Svetha Venkatesh, Hung Hai Bui, Dorota H. Kieronska, 1997, Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications.

Interactive browsing system for anomaly video surveillance

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2014, ArXiv.

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2017, IEEE Journal of Biomedical and Health Informatics.

Ordinal Boltzmann Machines for Collaborative Filtering

Svetha Venkatesh, Dinh Q. Phung, Tran The Truyen, 2009, UAI.

Automatic genre identification for content-based video categorization

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Practical Batch Bayesian Optimization for Less Expensive Functions pdf

Cheng Li, Svetha Venkatesh, Santu Rana, 2018, ArXiv.

Towards a Video Browser for the Digital Native

Svetha Venkatesh, Brett Adams, Stewart Greenhill, 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.

An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression

Svetha Venkatesh, Mihai Lazarescu, Andrew Turpin, 2002, SSPR/SPR.

Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2015, PAKDD.

Stabilizing l1-norm prediction models by supervised feature grouping

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2016, J. Biomed. Informatics.

Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification

Svetha Venkatesh, Duc-Son Pham, Hung Hai Bui, 2010, IEEE Transactions on Information Theory.

Affective, Linguistic and Topic Patterns in Online Autism Communities

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2014, WISE.

Analysing the correction of the camera-to-fixation point distance in active vision

Svetha Venkatesh, Geoff West, P. Lam, 1996 .

Stable Feature Selection with Support Vector Machines

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2015, Australasian Conference on Artificial Intelligence.

IMCE: integrated media creation environment

Svetha Venkatesh, Ramesh Jain, Brett Adams, 2004 .

Distributed query processing for mobile surveillance

Svetha Venkatesh, Stewart Greenhill, S. Venkatesh, 2007, ACM Multimedia.

Choice by Elimination via Deep Neural Networks pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, ArXiv.

A novel information theoretic approach to wavelet feature selection for texture classification

Svetha Venkatesh, Duc-Son Pham, Imran Naseem, 2013, Comput. Electr. Eng..

Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2013, ACML.

Expected Hypervolume Improvement with Constraints

Svetha Venkatesh, Alistair Shilton, Majid Abdolshah, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Stabilising The Camera-To-Fixation Point Distance In Active Vision

Svetha Venkatesh, Geoff A. W. West, Chiou Peng Lam, 1998, Pattern Recognit..

Boosted Markov Networks for Activity Recognition

Svetha Venkatesh, Hung Hai Bui, Tran The Truyen, 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Optimal metric selection for improved multi-pose face recognition with group information

Svetha Venkatesh, Wanquan Liu, Xin Zhang, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Retrieval of images using similarity based queries

Svetha Venkatesh, H. Raman, C. P. Lam, 1998 .

Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects

Svetha Venkatesh, Geoff A. W. West, Patrick Peursum, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Qualitative estimation of camera motion parameters from video sequences

Svetha Venkatesh, Mandyam V. Srinivasan, Robin Hosie, 1997, Pattern Recognition.

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

Svetha Venkatesh, Duc-Son Pham, S. Venkatesh, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Dynamic Privacy in a Smart House Environment

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Affect computing in film through sound energy dynamics

Svetha Venkatesh, Chitra Dorai, Simon Moncrieff, 2001, MULTIMEDIA '01.

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2014, ACML.

Sparse Approximation for Gaussian Process with Derivative Observations

Cheng Li, Svetha Venkatesh, Santu Rana, 2018, Australasian Conference on Artificial Intelligence.

Portable form filling assistant for the visually impaired

Ling Li, Svetha Venkatesh, Patrick Peursum, 2010, BCS HCI.

A flexible receiver-driven cache replacement scheme for continuous media objects in best-effort networks

Mohan Kumar, Svetha Venkatesh, W. H. O. Lau, 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

Media-independent knowledge representation via UMART: unified mental annotation and retrieval tool

Svetha Venkatesh, Roger W. Smith, Dorota H. Kieronska, 1996, Electronic Imaging.

Data-mining twitter and the autism spectrum disorder: A Pilot study

Svetha Venkatesh, Terry Caelli, Dinh Q. Phung, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

Combining multiple tracking algorithms for improved general performance

Svetha Venkatesh, Kim Shearer, Kirrily D. Wong, 2001, Pattern Recognit..

Bayesian functional optimisation with shape prior pdf

Svetha Venkatesh, Santu Rana, Pratibha Vellanki, 2018, AAAI.

Efficient algorithms for subwindow search in object detection and localization

Svetha Venkatesh, Wanquan Liu, Senjian An, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Automatic Scene Extraction in Motion Pictures

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2003 .

Energy-based Models for Video Anomaly Detection pdf

Svetha Venkatesh, Tu Dinh Nguyen, Dinh Q. Phung, 2017, ArXiv.

Event extraction using behaviors of sentiment signals and burst structure in social media

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2013, Knowledge and Information Systems.

Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines

Svetha Venkatesh, Dinh Q. Phung, Pratibha Vellanki, 2015, PAKDD Workshops.

Learning motion from optic flow

Svetha Venkatesh, Terry Caelli, C. P. Lam, 1996 .

Individualized arrhythmia detection with ECG signals from wearable devices

Wei Luo, Svetha Venkatesh, Terry Caelli, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2013, PAKDD.

Classifying Multiple Imbalanced Attributes in Relational Data

Svetha Venkatesh, Geoff A. W. West, Amal Saleh Ghanem, 2009, Australasian Conference on Artificial Intelligence.

THRESHOLD DYNAMIC TIME WARPING FOR SPATIAL ACTIVITY RECOGNITION

Svetha Venkatesh, Wanquan Liu, Daniel E. Riedel, 2007 .

Correcting camera-to-foveation point distance using active vision strategies

Svetha Venkatesh, Geoff West, C. P. Lam, 1995 .

A unified 2D-3D video scene change detection framework for mobile camera platforms

Svetha Venkatesh, Tele Tan, Wilson S. Leoputra, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Tree-based iterated local search for Markov random fields with applications in image analysis

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2014, J. Heuristics.

Factorial Multi-Task Learning : A Bayesian Nonparametric Approach

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2013, ICML.

Classifying and detecting group behaviour from visual surveillance data

Svetha Venkatesh, Geoff A. W. West, Robin Hosie, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

Svetha Venkatesh, Truyen Tran, Hung Le, 2018, KDD.

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Svetha Venkatesh, Brett Adams, Dinh Phung, 2011, SDM 2011.

An efficient least common subgraph algorithm for video indexing

Svetha Venkatesh, Horst Bunke, Kim Shearer, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Resolution consideration in spatially variant sensors

Svetha Venkatesh, Geoff West, F. L. Lim, 1997, Image Vis. Comput..

Process-constrained batch Bayesian optimisation

Svetha Venkatesh, Santu Rana, Paul G. Sanders, 2017, NIPS.

One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems

Trung Le, Svetha Venkatesh, Tu Dinh Nguyen, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A unified tensor framework for face recognition

Svetha Venkatesh, Wanquan Liu, Mihai Lazarescu, 2009, Pattern Recognit..

Anomaly detection in large-scale data stream networks

Svetha Venkatesh, Duc-Son Pham, Mihai Lazarescu, 2012, Data Mining and Knowledge Discovery.

Graph Transformation Policy Network for Chemical Reaction Prediction

Svetha Venkatesh, Truyen Tran, Kien Do, 2018, KDD.

Automatic Labeling of Sports Video Using Umpire Gesture Recognition

Svetha Venkatesh, Geoff A. W. West, Graeme S. Chambers, 2004, SSPR/SPR.

Efficient Bayesian Optimisation Using Derivative Meta-model

Cheng Li, Svetha Venkatesh, Santu Rana, 2018, PRICAI.

Learning in imbalanced relational data

Svetha Venkatesh, Geoff A. W. West, Amal Saleh Ghanem, 2008, 2008 19th International Conference on Pattern Recognition.

Face Recognition Using Kernel Ridge Regression

Svetha Venkatesh, Wanquan Liu, Senjian An, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2001, Int. J. Pattern Recognit. Artif. Intell..

Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach

Svetha Venkatesh, Sunil Kumar Gupta, Budhaditya Saha, 2015, PAKDD.

Continuous discovery of co-location contexts from Bluetooth data

Svetha Venkatesh, Dinh Q. Phung, Dinh Phung, 2015 .

A Sequential Decision Approach to Ordinal Preferences in Recommender Systems

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2012, AAAI.

Bayesian Optimization in Weakly Specified Search Space

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Curve reconstruction and segmentation using deformable models

Svetha Venkatesh, Geoff West, Marsudi Kisworo, 1992 .

Layered dynamic probabilistic networks for spatio-temporal modelling

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 1999, Intell. Data Anal..

Calibration of Audio-Video Sensors for Multi-Modal Event Indexing

Svetha Venkatesh, Tele Tan, Eric A. Lehmann, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Extracting natural scales using fourier descriptors

Svetha Venkatesh, Paul L. Rosin, 1993, Pattern Recognit..

Dual Control Memory Augmented Neural Networks for Treatment Recommendations

Svetha Venkatesh, Truyen Tran, Hung Le, 2018, PAKDD.

Application of computational media aesthetics methodology to extracting color semantics in film

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2002, MULTIMEDIA '02.

Subpixel precision edge modelling using the generalised energy approach

Svetha Venkatesh, Geoff West, Marsudi Kisworo, 1991 .

Between context-aware media capture and multimedia content analysis: where do we find the promised land?

Ramesh C. Jain, Tat-Seng Chua, Svetha Venkatesh, 2004, MULTIMEDIA '04.

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

Svetha Venkatesh, Anton van den Hengel, Lingqiao Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Classifying complex human motion using point distribution models

Svetha Venkatesh, Geoff West, Ezra Tassone, 2002 .

Mixed-norm sparse representation for multi view face recognition

Svetha Venkatesh, Duc-Son Pham, Wanquan Liu, 2015, Pattern Recognit..

Cognitive intervention in autism using multimedia stimulus

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, MM '11.

Ridge Regression for Two Dimensional Locality Preserving Projection

Svetha Venkatesh, Wanquan Liu, Nam Thanh Nguyen, 2008, 2008 19th International Conference on Pattern Recognition.

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data

Wei Luo, Svetha Venkatesh, Truyen Tran, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Optimal Communication Among Team Members

Svetha Venkatesh, Hung Hai Bui, Dorota H. Kieronska, 1997, Australian Joint Conference on Artificial Intelligence.

Bayesian nonparametric Multiple Instance Regression

Svetha Venkatesh, C. Shunmuga Velayutham, Santu Rana, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Visual Object Clustering via Mixed-Norm Regularization

Svetha Venkatesh, Duc-Son Pham, Wanquan Liu, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Predicting object features due to specularity for a general purpose model based 3D object recognition system

Svetha Venkatesh, Geoff West, M. Robey, 1993 .

Neural Choice by Elimination via Highway Networks

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, PAKDD Workshops.

Contextual navigation in a multimedia journal

Svetha Venkatesh, Stewart Greenhill, 2008, ACM Multimedia.

Early jump-out corner detectors

James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Efficient tensor based face recognition

Svetha Venkatesh, Wanquan Liu, Mihai Lazarescu, 2008, 2008 19th International Conference on Pattern Recognition.

Relational dynamic memory networks pdf

Svetha Venkatesh, Truyen Tran, Trang Pham, 2018, ArXiv.

Passenger monitoring in moving bus video

Svetha Venkatesh, Tele Tan, Wilson S. Leoputra, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Video indexing and similarity retrieval by largest common subgraph detection using decision trees

Svetha Venkatesh, Horst Bunke, Kim Shearer, 2001, Pattern Recognit..

Detection of setting and subject information in documentary video

Svetha Venkatesh, Kim Shearer, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Resolution consideration in spatially variant sensors

Svetha Venkatesh, Geoff A. W. West, Fee-Lee Lim, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A Sentiment-Aware Approach to Community Formation in Social Media

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2021, ICWSM.

Multimedia Authoring: Human-Computer Partnership for Harvesting Metadata from the Right Sources

Svetha Venkatesh, Brett Adams, 2005 .

Tracking in a space variant active vision system

Svetha Venkatesh, Geoff A. W. West, Fee-Lee Lim, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A performance model of speculative prefetching in distributed information systems

Mohan Kumar, Svetha Venkatesh, Nor Jaidi Tuah, 1999, Proceedings 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing. IPPS/SPDP 1999.

Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance

Svetha Venkatesh, Duc-Son Pham, Dinh Phung, 2015 .

A Smartphone-Based Obstacle Sensor for the Visually Impaired

Ling Li, Svetha Venkatesh, Patrick Peursum, 2010, UIC.

Classification and Pattern Discovery of Mood in Weblogs

Svetha Venkatesh, Truyen Tran, Brett Adams, 2010, PAKDD.

Faster training of very deep networks via p-norm gates

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A probabilistic approach to the anxious home for activity monitoring

Svetha Venkatesh, Geoff A. W. West, Stewart Greenhill, 2005, 29th Annual International Computer Software and Applications Conference (COMPSAC'05).

Generating comprehensible summaries of rushes sequences based on robust feature matching

Ba Tu Truong, Svetha Venkatesh, 2007, TVS '07.

A robust scheme for isolating and classifying visual features

Svetha Venkatesh, Robyn Owens, R. Owens, 1989 .

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2017, Knowledge and Information Systems.

Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering

Svetha Venkatesh, Wanquan Liu, Senjian An, 2007, PCM.

Joint learning and dictionary construction for pattern recognition

Svetha Venkatesh, Duc-Son Pham, S. Venkatesh, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Horror film genre typing and scene labeling via audio analysis

Svetha Venkatesh, Chitra Dorai, Simon Moncrieff, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Differentially Private Random Forest with High Utility

Svetha Venkatesh, Santu Rana, Sunil Kumar Gupta, 2015, 2015 IEEE International Conference on Data Mining.

Computable social patterns from sparse sensor data

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2008, LocWeb.

Injection, detection and repair of aesthetics in home movies

Svetha Venkatesh, Brett Adams, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Taming the roving camera: a framework for creating professional home movies through narrative and cinesthetic elements

Svetha Venkatesh, Brett Adams, 2004, 10th International Multimedia Modelling Conference, 2004. Proceedings..

Shape recognition in active vision using log polar transformation

Svetha Venkatesh, Geoff West, F. L. Lim, 1993 .

Mixed-Variate Restricted Boltzmann Machines pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2014, ACML.

Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts

Svetha Venkatesh, Chitra Dorai, Kim Shearer, 2000, MDM/KDD.

MCMC for Hierarchical Semi-Markov Conditional Random Fields pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2009, NIPS 2009.

Performance Optimization Problem in Speculative Prefetching

Mohan Kumar, Sajal K. Das, Svetha Venkatesh, 2002, IEEE Trans. Parallel Distributed Syst..

A chemotactic-based model for spatial activity recognition

Svetha Venkatesh, Wanquan Liu, Daniel E. Riedel, 2006, Int. J. Syst. Sci..

Dynamic shot suggestion filtering for home video based on user performance

Svetha Venkatesh, Brett Adams, 2005, MULTIMEDIA '05.

Fast One-Class Support Vector Machine for Novelty Detection

Trung Le, Svetha Venkatesh, Dinh Q. Phung, 2015, PAKDD.

Funniest thing i've seen since [href=//flic.kr/p/KGEGB]: shifting perspectives from multimedia artefacts to utterances

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2012, SAM '12.

Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2015, IEEE Transactions on Affective Computing.

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

Svetha Venkatesh, Sunil Gupta, Budhaditya Saha, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2004, SSPR/SPR.

Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2013, IEEE Transactions on Multimedia.

Fast cross-validation of kernel Fisher discriminant classifiers

Svetha Venkatesh, Wanquan Liu, Senjian An, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Hybrid Generative-Discriminative Models for Inverse Materials Design pdf

Svetha Venkatesh, Truyen Tran, Phuoc Nguyen, 2018, ArXiv.

Representations and Processes in Decision Modelling

Svetha Venkatesh, Adrian R. Pearce, Stewart Greenhill, 2002 .

Edge evaluation using necessary components

Svetha Venkatesh, Leslie J. Kitchen, L. Kitchen, 1992, CVGIP Graph. Model. Image Process..

Online Social Capital: Mood, Topical and Psycholinguistic Analysis

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2021, ICWSM.

Automatically learning structural units in educational videos with the hierarchical hidden Markov models

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Towards automatic extraction of expressive elements from motion pictures: tempo

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Analysis of circadian rhythms from online communities of individuals with affective disorders

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Stable Bayesian Optimisation via Direct Stability Quantification pdf

Svetha Venkatesh, Alistair Shilton, Majid Abdolshah, 2019, ArXiv.

Detection of Dynamic Background Due to Swaying Movements From Motion Features

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2015, IEEE Transactions on Image Processing.

Multiple task transfer learning with small sample sizes

Svetha Venkatesh, Dinh Q. Phung, Sunil Gupta, 2015, Knowledge and Information Systems.

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ACML.

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding

Wei Luo, Svetha Venkatesh, Dinh Q. Phung, 2018, Journal of Medical Systems.

Multi-objective Bayesian optimisation with preferences over objectives

Svetha Venkatesh, Alistair Shilton, Majid Abdolshah, 2019, NeurIPS.

Privacy Aware K-Means Clustering with High Utility

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2016, PAKDD.

TOBY: early intervention in autism through technology

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2013, CHI.

Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association

Svetha Venkatesh, Hung Hai Bui, Nam Thanh Nguyen, 2006, BMVC.

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Anil Ramachandran, 2018, PRICAI.

Narrative structure detection through audio pace

Svetha Venkatesh, Simon Moncrieff, 2006, 2006 12th International Multi-Media Modelling Conference.

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming

Svetha Venkatesh, Alistair Shilton, Santu Rana, 2018, UAI.

Beyond the topological map : developing alternate mappings in self organisation

Svetha Venkatesh, Masahiro Takatsuka, Russell Keith-Magee, 1999 .

Geometric hashing on SIMD architectures

Svetha Venkatesh, Geoff West, M. Leishman, 1995 .

GraphDTA: Predicting drug–target binding affinity with graph neural networks

Svetha Venkatesh, Thin Nguyen, Thomas P. Quinn, 2019 .

Variational Memory Encoder-Decoder

Svetha Venkatesh, Truyen Tran, Hung Le, 2018, NeurIPS.

Semantic data modelling and visualisation using Noetica

Svetha Venkatesh, Stewart Greenhill, S. Venkatesh, 2000, Data Knowl. Eng..

Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold

Svetha Venkatesh, Duc-Son Pham, 2011, Australasian Conference on Artificial Intelligence.

Learning to Remember More with Less Memorization pdf

Svetha Venkatesh, Truyen Tran, Hung Le, 2019, ICLR.

Browsing personal media archives with spatial context using panoramas

Svetha Venkatesh, Brett Adams, Stewart Greenhill, 2006, MM '06.

An insect-based approach to robotic homing

Svetha Venkatesh, Mandyam V. Srinivasan, Keven Weber, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Learning From Ordered Sets and Applications in Collaborative Ranking pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2014, ACML.

Pervasive multimedia for autism intervention

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2012, Pervasive Mob. Comput..

Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives pdf

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2019, Knowl. Based Syst..

Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2017, WISE.

Multi-modal abnormality detection in video with unknown data segmentation

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Film audio pace

Svetha Venkatesh, Simon Moncrieff, 2007, Int. J. Intell. Syst. Technol. Appl..

Hierarchical Directory-Based Shared Memory Architecture

Mohan Kumar, Lalit M. Patnaik, Svetha Venkatesh, 1995, Comput. J..

Discovering topic structures of a temporally evolving document corpus

Svetha Venkatesh, Dinh Q. Phung, Ognjen Arandjelovic, 2015, 1512.08008.

Satisfying viewsphere requirements using raytracing and physical modelling techniques

Svetha Venkatesh, Geoff West, M. Robey, 1992 .

Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification

Svetha Venkatesh, Dinh Q. Phung, Tien-Vu Nguyen, 2013, ICONIP.

Eventscapes: visualizing events over time with emotive facets

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2011, ACM Multimedia.

Early Jump-Out Corner Detectors

James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Finding the Optimal Temporal Partitioning of Video Sequences

Ba Tu Truong, Svetha Venkatesh, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Modeling Edges at Subpixel Accuracy Using the Local Energy Approach

Svetha Venkatesh, Geoff A. W. West, M. Kisworo, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2008, PRICAI.

Centering behavior for mobile robots using insect based cues

Svetha Venkatesh, Javaan Chahl, Mandyam V. Srinivasan, 1995 .

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

Svetha Venkatesh, Dinh Q. Phung, Pratibha Vellanki, 2017, Knowledge and Information Systems.

Exploiting feature relationships towards stable feature selection

Svetha Venkatesh, Dinh Q. Phung, Sunil Kumar Gupta, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Exploiting Monge structures in optimum subwindow search

Xiaoming Chen, Svetha Venkatesh, Wanquan Liu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Obtaining functional parametric models using active vision strategies

Svetha Venkatesh, Geoff A. W. West, Chiou Peng Lam, 2001, Pattern Recognit..

What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2015, SDM.

Bridging the semantic gap in content management : computational media aesthetics

Svetha Venkatesh, Chitra Dorai, S. Venkatesh, 2001 .

New enhancements to cut, fade, and dissolve detection processes in video segmentation

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2000, ACM Multimedia.

Virtual observers in a mobile surveillance system

Svetha Venkatesh, Stewart Greenhill, S. Venkatesh, 2006, MM '06.

A predictive framework for modeling healthcare data with evolving clinical interventions

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2015, Stat. Anal. Data Min..

Budgeted Batch Bayesian Optimization With Unknown Batch Sizes pdf

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ArXiv.

Discovery of latent subcommunities in a blog's readership

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2010, TWEB.

Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2014, SDM.

Determining object function based on its motion

Svetha Venkatesh, F. L. Lim, C. P. Lam, 1999 .

An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, ArXiv.

On the classification of image features

Svetha Venkatesh, Robyn A. Owens, R. Owens, 1990, Pattern Recognit. Lett..

Social reader: towards browsing the social web

Svetha Venkatesh, Brett Adams, Dinh Q. Phung, 2014, Multimedia Tools and Applications.

Learning People Movement Model from Multiple Cameras for Behaviour Recognition

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2004, SSPR/SPR.

Learning other Agents' Preferences in Multiagent Negotiation

Svetha Venkatesh, Hung Hai Bui, Dorota H. Kieronska, 1996, AAAI/IAAI, Vol. 1.

Using interaction signatures to find and label chairs and floors

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2004, IEEE Pervasive Computing.

Improved subspace clustering via exploitation of spatial constraints

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious

Wei Luo, Svetha Venkatesh, Dinh Q. Phung, 2016, Australasian Conference on Artificial Intelligence.

Energy-based anomaly detection for mixed data

Svetha Venkatesh, Truyen Tran, Kien Do, 2018, Knowledge and Information Systems.

Probabilistic Models over Ordered Partitions with Application in Learning to Rank pdf

Svetha Venkatesh, Dinh Q. Phung, Tran The Truyen, 2010, ArXiv.

Discovering semantics from visualizations of film takes

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2004, 10th International Multimedia Modelling Conference, 2004. Proceedings..

Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach

Svetha Venkatesh, Dinh Q. Phung, Santu Rana, 2012, ICVGIP '12.

One Size Fits Many: Column Bundle for Multi-X Learning pdf

Svetha Venkatesh, Truyen Tran, Trang Pham, 2017, ArXiv.

Identifying film takes for cinematic analysis

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

IBM Research Report Bridging the Semantic Gap in Content Management Systems

Svetha Venkatesh, Chitra Dorai, W. Australia, 2002 .

Deep Learning to Attend to Risk in ICU

Svetha Venkatesh, Truyen Tran, Phuoc Nguyen, 2017, KHD@IJCAI.

Human saccadic eye movements and tracking by active foveation in log polar space

Svetha Venkatesh, Geoff A. W. West, Fee-Lee Lim, 1996, Electronic Imaging.

Overcoming data scarcity of Twitter: Using tweets as bootstrap with application to autism-related topic content analysis

Svetha Venkatesh, Dinh Q. Phung, Ognjen Arandjelovic, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Constrained Sequence Classification for Lexical Disambiguation

Svetha Venkatesh, Dinh Q. Phung, Tran The Truyen, 2008, PRICAI.

Unifying Background Models over Complex Audio using Entropy

Svetha Venkatesh, Geoff A. W. West, Simon Moncrieff, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2018, NeurIPS.

IMCE: integrated media creation environment

Ramesh C. Jain, Svetha Venkatesh, Brett Adams, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Recognition of emergent human behaviour in a smart home: A data mining approach

Svetha Venkatesh, Geoff A. W. West, Sebastian Lühr, 2007, Pervasive Mob. Comput..

A framework for feature extraction from hospital medical data with applications in risk prediction

Wei Luo, Svetha Venkatesh, Truyen Tran, 2014, BMC Bioinformatics.

Effect of social capital on emotion, language style and latent topics in online depression community

Svetha Venkatesh, Dinh Q. Phung, Bo Dao, 2016, 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).

Differentially Private Multi-task Learning

Svetha Venkatesh, Santu Rana, Sunil Kumar Gupta, 2016, PAISI.

Weaving stories in digital media: when Spielberg makes home movies

Svetha Venkatesh, Brett Adams, 2003, MULTIMEDIA '03.

MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data

Svetha Venkatesh, Dinh Q. Phung, Vu Nguyen, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Learning Graph Representation via Frequent Subgraphs

Wei Luo, Svetha Venkatesh, Tu Dinh Nguyen, 2018, SDM.

Neighborhood coherence and edge based approaches to film scene extraction

Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, 2002, Object recognition supported by user interaction for service robots.

Clustering Patient Medical Records via Sparse Subspace Representation

Svetha Venkatesh, Duc-Son Pham, Dinh Q. Phung, 2013, PAKDD.

Adaptive Model for Foreground Extraction in Adverse Lighting Conditions

Svetha Venkatesh, Geoff A. W. West, Stewart Greenhill, 2004, PRICAI.

An application of "agent-oriented" techniques to symbolic matching and object recognition

Svetha Venkatesh, Geoff A. W. West, Terry Caelli, 2002, Pattern Recognit. Lett..

Discriminative Cues for Different Stages of Smoking Cessation in Online Community

John Yearwood, Svetha Venkatesh, Dinh Q. Phung, 2016, WISE.

Learning graph representation via frequent subgraphs

Svetha Venkatesh, Tu Dinh Nguyen, Dang Nguyen, 2018 .

Textual Cues for Online Depression in Community and Personal Settings

Svetha Venkatesh, Dinh Q. Phung, Thin Nguyen, 2016, ADMA.

Achieving stable subspace clustering by post-processing generic clustering results

Svetha Venkatesh, Duc-Son Pham, Ognjen Arandjelovic, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Clustering by Maximizing Mutual Information Across Views pdf

Svetha Venkatesh, Kien Do, Truyen Tran, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study

Svetha Venkatesh, Tjeerd W Boonstra, Mark E Larsen, 2018, PloS one.

Variational Hyper-encoding Networks

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ECML/PKDD.

Fairness improvement for black-box classifiers with Gaussian process

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, Inf. Sci..

Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support pdf

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ArXiv.

Learning Asynchronous and Sparse Human-Object Interaction in Videos

Svetha Venkatesh, Truyen Tran, Vuong Le, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces

Svetha Venkatesh, Sunil Gupta, Hung Tran-The, 2021, Trans. Mach. Learn. Res..

Plug and Play, Model-Based Reinforcement Learning pdf

Thommen George Karimpanal, Svetha Venkatesh, Majid Abdolshah, 2021, ArXiv.

On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks pdf

Svetha Venkatesh, Sunil Gupta, Hung Tran-The, 2021, ArXiv.

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research pdf

Svetha Venkatesh, Sunil Gupta, Vuong Le, 2021, ArXiv.

A New Representation of Successor Features for Transfer across Dissimilar Environments pdf

Thommen George Karimpanal, Svetha Venkatesh, Majid Abdolshah, 2021, ICML.

Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer pdf

Thommen George Karimpanal, Svetha Venkatesh, Santu Rana, 2021, ArXiv.

Bayesian Optimistic Optimisation with Exponentially Decaying Regret

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ICML.

A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos

Svetha Venkatesh, Truyen Tran, Binh Nguyen-Thai, 2021, IEEE Journal of Biomedical and Health Informatics.

Model-Based Episodic Memory Induces Dynamic Hybrid Controls pdf

Thommen George Karimpanal, Svetha Venkatesh, Majid Abdolshah, 2021, NeurIPS.

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Distributional Reinforcement Learning via Moment Matching

Svetha Venkatesh, Sunil Gupta, Thanh Tang Nguyen, 2020, AAAI.

Topic Model Kernel Classification With Probabilistically Reduced Features

Svetha Venkatesh, Dinh Phung, Vu Nguyen, 2021 .

PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse

Svetha Venkatesh, Truyen Tran, Thuc Duy Le, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Episodic Policy Gradient Training pdf

Thommen George Karimpanal, Svetha Venkatesh, Majid Abdolshah, 2021, AAAI.

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization pdf

Svetha Venkatesh, Truyen Tran, Kien Do, 2020, AAAI.

ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms pdf

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2021, ArXiv.

Semantic Host-free Trojan Attack pdf

Svetha Venkatesh, Kien Do, Santu Rana, 2021, ArXiv.

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

Svetha Venkatesh, Truyen Tran, Vuong Le, 2021, Int. J. Comput. Vis..

HealthMap: A visual platform for patient suicide risk review

Svetha Venkatesh, Truyen Tran, Santu Rana, 2014 .

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

Wei Luo, Svetha Venkatesh, Truyen Tran, 2014, BMC Psychiatry.

Speed up health research through topic modeling of coded clinical data

Svetha Venkatesh, Truyen Tran, Dinh Phung, 2014 .

Detection of curved edges at subpixel accuracy using deformable models

Svetha Venkatesh, Geoff West, Marsudi Kisworo, 1995 .

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

Thommen George Karimpanal, Svetha Venkatesh, Truyen Tran, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

Svetha Venkatesh, Truyen Tran, Chandan Karmakar, 2016, JMIR mental health.

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

Svetha Venkatesh, Truyen Tran, Adham Beykikhoshk, 2019, bioRxiv.

Using life's digital detritus to feed discovery.

Svetha Venkatesh, Helen Christensen, H. Christensen, 2017, The lancet. Psychiatry.

Large Sample Asymptotic for Nonparametric Mixture Model with Count Data

Trung Le, Svetha Venkatesh, Dinh Phung, 2015 .

Web search activity data accurately predict population chronic disease risk in the USA

Wei Luo, Svetha Venkatesh, Truyen Tran, 2015, Journal of Epidemiology & Community Health.

Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal

Marimuthu Palaniswami, Svetha Venkatesh, Peng Li, 2017, Front. Physiol..

Automatic parameter selection for Eigenfaces

Svetha Venkatesh, Ronny Tjahyadi, Wanquan Liu, 2004 .

Multi-task transfer learning for in-hospital-death prediction of ICU patients

Marimuthu Palaniswami, Svetha Venkatesh, Budhaditya Saha, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum

Svetha Venkatesh, Santu Rana, Sunil Gupta, 2018, JOM.

Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset

Svetha Venkatesh, Truyen Tran, Wei Luo, 2015, PloS one.

TOBY play-pad application to teach children with ASD – A pilot trial

Svetha Venkatesh, Dinh Q. Phung, Thi Duong, 2013, Developmental neurorehabilitation.

Fourteenth International Conference on Pattern Recognition, August 16-20, 1998, Convention and Exhibition Centre, Brisbane, Australia : proceedings

Svetha Venkatesh, Anil K. Jain, Brian C. Lovell, 1998 .

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol

Svetha Venkatesh, Thi Duong, Pratibha Vellanki, 2016, BMC Pediatrics.

Use of log polar space for foveation and feature recognition

Svetha Venkatesh, Geoff West, F. L. Lim, 1997 .