Gert R. G. Lanckriet

Antoni B. Chan, Gert R. G. Lanckriet, Luke Barrington, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Context Recognition In-the-Wild

Nadir Weibel, Gert R. G. Lanckriet, Yonatan Vaizman, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Efficient Learning of Mahalanobis Metrics for Ranking

Gert R. G. Lanckriet, Daryl Lim, G. Lanckriet, 2014, ICML.

On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

Roger Levy, Nuno Vasconcelos, Gert R. G. Lanckriet, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semantic Annotation and Retrieval of Music using a Bag of Systems Representation

Gert R. G. Lanckriet, Emanuele Coviello, Katherine Ellis, 2011, ISMIR.

Equality and Social Mobility in Twitter Discussion Groups

Omer Reingold, Gert R. G. Lanckriet, Nina Mishra, 2016, WSDM.

Non-linear Metric Learning

Stephen Tyree, Kilian Q. Weinberger, Gert R. G. Lanckriet, 2012, NIPS.

Search and Discovery Through Human Computation

Gert R. G. Lanckriet, Luke Barrington, Albert Yu-Min Lin, 2013, Handbook of Human Computation.

Combining Content-Based Auto-Taggers with Decision-Fusion

Riccardo Miotto, Gert R. G. Lanckriet, Emanuele Coviello, 2011, ISMIR.

A statistical framework for genomic data fusion

Nello Cristianini, Michael I. Jordan, Tijl De Bie, 2004, Bioinform..

Automatic Music Tagging With Time Series Models

Antoni B. Chan, Gert R. G. Lanckriet, Luke Barrington, 2010, ISMIR.

A Framework for Genomic Data Fusion and its Application to Membrane Protein Prediction

Michael I. Jordan, Tijl De Bie, Nello Cristianini, 2004 .

Learning Content Similarity for Music Recommendation

Gert R. G. Lanckriet, Luke Barrington, Brian McFee, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, 2012, Neural Computation.

Direct convex relaxations of sparse SVM

Nuno Vasconcelos, Antoni B. Chan, Gert R. G. Lanckriet, 2007, ICML '07.

Dynamic texture models of music

Antoni B. Chan, Gert R. G. Lanckriet, Luke Barrington, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting

Masataka Goto, Elias Pampalk, Gert R. G. Lanckriet, 2007, ISMIR.

Contextual Object Localization With Multiple Kernel Nearest Neighbor

Gert R. G. Lanckriet, Brian McFee, Carolina Galleguillos, 2011, IEEE Transactions on Image Processing.

A note on integral probability metrics and $\phi$-divergences pdf

Bernhard Schölkopf, Kenji Fukumizu, Arthur Gretton, 2009, ArXiv.

Identifying Words that are Musically Meaningful

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2007, ISMIR.

Exploring the Semantic Annotation and Retrieval of Sound

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2007 .

Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast

Nello Cristianini, Michael I. Jordan, William Stafford Noble, 2003, Pacific Symposium on Biocomputing.

Financial time series prediction using least squares support vector machines within the evidence framework

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2001, IEEE Trans. Neural Networks.

Heterogeneous Embedding for Subjective Artist Similarity

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2009, ISMIR.

Partial order embedding with multiple kernels

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2009, ICML '09.

From event detection to storytelling on microblogs

Mike Conway, Gert R. G. Lanckriet, Sumithra Velupillai, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

A Game-Based Approach for Collecting Semantic Annotations of Music

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2007, ISMIR.

Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint

Kenji Fukumizu, Gert R. G. Lanckriet, Bharath K. Sriperumbudur, 2011, NIPS.

Smarter than Genius? Human Evaluation of Music Recommender Systems

Gert R. G. Lanckriet, Luke Barrington, Reid Oda, 2009, ISMIR.

Growing a bag of systems tree for fast and accurate classification

Antoni B. Chan, Gert R. G. Lanckriet, Adeel Mumtaz, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models pdf

Antoni B. Chan, Gert R. G. Lanckriet, Emanuele Coviello, 2011, ArXiv.

On integral probability metrics, φ-divergences and binary classification

Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, 2009, 0901.2698.

A histogram density modeling approach to music emotion recognition

Hsin-Min Wang, Gert R. G. Lanckriet, Ju-Chiang Wang, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

That was fast! Speeding up NN search of high dimensional distributions

Antoni B. Chan, Gert R. G. Lanckriet, Adeel Mumtaz, 2013, ICML.

Multivariate Autoregressive Mixture Models for Music Auto-Tagging

Antoni B. Chan, Gert R. G. Lanckriet, Emanuele Coviello, 2012, ISMIR.

Clustering hidden Markov models with variational HEM pdf

Antoni B. Chan, Gert R. G. Lanckriet, Emanuele Coviello, 2012, J. Mach. Learn. Res..

Early prediction and characterization of high-impact world events using social media pdf

Gert R. G. Lanckriet, Mauricio Quezada, Barbara Poblete, 2015, ArXiv.

Gert R. G. Lanckriet, Brian McFee, 2010, MIR '10.

Modeling Music as a Dynamic Texture

Antoni B. Chan, Gert R. G. Lanckriet, Luke Barrington, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Gert R. G. Lanckriet, Luke Barrington, Brian McFee, 2010, ISMIR.

More like this: machine learning approaches to music similarity

Sanjoy Dasgupta, Gert R. G. Lanckriet, Brian McFee, 2012 .

Facts and Fabrications about Ebola: A Twitter Based Study pdf

Son Doan, Mike Conway, Gert R. G. Lanckriet, 2015, ArXiv.

Metric Learning to Rank

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2010, ICML.

SEMANTIC SIMILARITY FOR MUSIC RETRIEVAL

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2007 .

Nearest Neighbor Prototyping for Sparse and Scalable Support Vector Machines

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, 2007 .

Duals of the QCQP and SDP Sparse SVM

Nuno Vasconcelos, Antoni B. Chan, Gert R. G. Lanckriet, 2007 .

Semantic Annotation and Retrieval of Music and Sound Effects

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Learning Multi-modal Similarity

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2010, J. Mach. Learn. Res..

Combining audio content and social context for semantic music discovery

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2009, SIGIR.

Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions

Bernhard Schölkopf, Kenji Fukumizu, Arthur Gretton, 2009, NIPS.

Multi-sensor physical activity recognition in free-living

Gert R. G. Lanckriet, Jacqueline Kerr, Suneeta Godbole, 2014, UbiComp Adjunct.

Physical activity recognition in free-living from body-worn sensors

Gert R. G. Lanckriet, Jacqueline Kerr, Simon J. Marshall, 2013, SenseCam '13.

Leveraging Social Context for Modeling Topic Evolution

Gert R. G. Lanckriet, Diego Sáez-Trumper, Amin Mantrach, 2015, KDD.

Sparse eigen methods by D.C. programming

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, David A. Torres, 2007, ICML '07.

Robust Structural Metric Learning

Gert R. G. Lanckriet, Brian McFee, Daryl Lim, 2013, ICML.

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2002, Neural Computation.

Towards musical query-by-semantic-description using the CAL500 data set

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2007, SIGIR.

Clustering dynamic textures with the hierarchical EM algorithm

Antoni B. Chan, Gert R. G. Lanckriet, Adeel Mumtaz, 2013, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Iterative Category Discovery via Multiple Kernel Metric Learning

Gert R. G. Lanckriet, Brian McFee, Carolina Galleguillos, 2013, International Journal of Computer Vision.

Bayesian interpretation of least squares support vector machines for financial time series prediction

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2001 .

Multi-class object localization by combining local contextual interactions

Gert R. G. Lanckriet, Serge J. Belongie, Brian McFee, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

The Natural Language of Playlists

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2011, ISMIR.

Robust Novelty Detection with Single-Class MPM

Michael I. Jordan, Laurent El Ghaoui, Gert R. G. Lanckriet, 2002, NIPS.

Metric embedding for kernel classification rules

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, Omer A. Lang, 2008, ICML '08.

Improving Auto-tagging by Modeling Semantic Co-occurrences

Riccardo Miotto, Gert R. G. Lanckriet, Luke Barrington, 2010, ISMIR.

Hilbert Space Embeddings and Metrics on Probability Measures

Bernhard Schölkopf, Kenji Fukumizu, Arthur Gretton, 2009, J. Mach. Learn. Res..

A Generative Context Model for Semantic Music Annotation and Retrieval

Riccardo Miotto, Gert R. G. Lanckriet, G. Lanckriet, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

A new approach to cross-modal multimedia retrieval

Roger Levy, Nuno Vasconcelos, Gert R. G. Lanckriet, 2010, ACM Multimedia.

Learning from unstructured multimedia data

Gert R. G. Lanckriet, Janani Kalyanam, 2014, WWW '14 Companion.

Top-N Recommendation with Missing Implicit Feedback

Gert R. G. Lanckriet, Julian J. McAuley, Daryl Lim, 2015, RecSys.

The million song dataset challenge

Thierry Bertin-Mahieux, Daniel P. W. Ellis, Gert R. G. Lanckriet, 2012, WWW.

Large-scale music similarity search with spatial trees

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2011, ISMIR.

Time Series Models for Semantic Music Annotation

Antoni B. Chan, Gert R. G. Lanckriet, Emanuele Coviello, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Gert R. G. Lanckriet, Serge J. Belongie, Brian McFee, 2011, CVPR 2011.

Machines that understand music

Gert R. G. Lanckriet, Luke Barrington, 2012 .

A majorization-minimization approach to the sparse generalized eigenvalue problem

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, David A. Torres, 2011, Machine Learning.

Design and development of a semantic music discovery engine

Gert R. G. Lanckriet, Charles Elkan, Douglas Turnbull, 2008 .

Non-parametric estimation of integral probability metrics

Bernhard Schölkopf, Kenji Fukumizu, Arthur Gretton, 2010, 2010 IEEE International Symposium on Information Theory.

Combining Feature Kernels for Semantic Music Retrieval

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2008, ISMIR.

Learning the Kernel Matrix with Semidefinite Programming

Nello Cristianini, Michael I. Jordan, Peter L. Bartlett, 2002, J. Mach. Learn. Res..

A Robust Minimax Approach to Classification

Michael I. Jordan, Laurent El Ghaoui, Gert R. G. Lanckriet, 2003, J. Mach. Learn. Res..

Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches

Gert R. G. Lanckriet, Yonatan Vaizman, Katherine Ellis, 2016, IEEE Pervasive Computing.

On the Convergence of the Concave-Convex Procedure

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, G. Lanckriet, 2009, NIPS.

AUTO-TAGGING MUSIC CONTENT WITH SEMANTIC MULTINOMIALS

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2008 .

ExtraSensory App: Data Collection In-the-Wild with Rich User Interface to Self-Report Behavior

Nadir Weibel, Gert R. G. Lanckriet, Yonatan Vaizman, 2018, CHI.

Five Approaches to Collecting Tags for Music

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2008, ISMIR.

Injective Hilbert Space Embeddings of Probability Measures

Bernhard Schölkopf, Kenji Fukumizu, Arthur Gretton, 2008, COLT.

Multiple kernel learning, conic duality, and the SMO algorithm

Michael I. Jordan, Gert R. G. Lanckriet, Francis R. Bach, 2004, ICML.

Collaborative Filtering Based on P2P Networks

Gert R. G. Lanckriet, Yuval Shavitt, Brian McFee, 2010, ISMIR.

The variational hierarchical EM algorithm for clustering hidden Markov models

Antoni B. Chan, Gert R. G. Lanckriet, Emanuele Coviello, 2012, NIPS.

Hypergraph Models of Playlist Dialects

Gert R. G. Lanckriet, Brian McFee, G. Lanckriet, 2012, ISMIR.

Minimax Probability Machine

Michael I. Jordan, Laurent El Ghaoui, Gert R. G. Lanckriet, 2001, NIPS.

Consistent probabilistic outputs for protein function prediction

Michael I. Jordan, William Stafford Noble, Gert R. G. Lanckriet, 2008, Genome Biology.

A critical assessment of Mus musculus gene function prediction using integrated genomic evidence

Michael I. Jordan, William Stafford Noble, Gert R. G. Lanckriet, 2008, Genome Biology.

Technical supplement to “ Consistent probabilistic outputs for protein function prediction ”

Gert R. G. Lanckriet, G. Obozinski, G. Lanckriet, 2008 .

On the empirical estimation of integral probability metrics

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, K. Fukumizu, 2012 .

Prediction and Characterization of High-Activity Events in Social Media Triggered by Real-World News

Gert R. G. Lanckriet, Mauricio Quezada, Barbara Poblete, 2015, PloS one.

A majorization-minimization approach to the sparse generalized eigenvalue problem

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, David A. Torres, 2011 .

The Sparse Eigenvalue Problem

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, David A. Torres, 2009 .

A D.C. Programming Approach to the Sparse Generalized Eigenvalue Problem

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, David A. Torres, 2009, 0901.1504.

Classification of a large microarray data set: algorithm comparison and analysis of drug signatures.

Gert R. G. Lanckriet, Stuart Tugendreich, G. Lanckriet, 2005, Genome research.

Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video

Antoni B. Chan, Gert R. G. Lanckriet, G. Lanckriet, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

From Event Detection to Storytelling on Microblogs Janani Kalyanam

Gert R. G. Lanckriet, G. Lanckriet, S. Velupillai, 2016 .

A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers

Gert R. G. Lanckriet, G. Lanckriet, S. Marshall, 2014, Physiological measurement.

A Bag of Systems Representation for Music Auto-Tagging

Antoni B. Chan, Gert R. G. Lanckriet, Emanuele Coviello, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Twitter-Based Detection of Illegal Online Sale of Prescription Opioid

Gert R. G. Lanckriet, Janani Kalyanam, Gert Lanckriet, 2017, American journal of public health.

Objective Assessment of Physical Activity: Classifiers for Public Health.

Gert R. G. Lanckriet, Jacqueline Kerr, John Staudenmayer, 2016, Medicine and science in sports and exercise.

Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification.

Gert R. G. Lanckriet, Jacqueline Kerr, John Staudenmayer, 2016, Medicine and science in sports and exercise.

Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

Gert R. G. Lanckriet, John Staudenmayer, Simon Marshall, 2014, Front. Public Health.

Game-powered machine learning

Gert R. G. Lanckriet, Luke Barrington, Douglas Turnbull, 2012, Proceedings of the National Academy of Sciences.

User-centered design of a social game to tag music

Gert R. G. Lanckriet, Luke Barrington, Gert Lanckriet, 2009, HCOMP '09.

Fast Kernel Learning using Sequential Minimal Optimization

Michael I. Jordan, Gert R. G. Lanckriet, F. Bach, 2004 .

Convex Tuning of the Soft Margin Parameter

Gert R. G. Lanckriet, G. Lanckriet, T. D. Bie, 2003 .

Codebook-Based Audio Feature Representation for Music Information Retrieval

Gert R. G. Lanckriet, Brian McFee, Yonatan Vaizman, 2013, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Financial time series prediction using least squares support vector machines within the evidence framework

Gert R. G. Lanckriet, J. Suykens, B. Moor, 2001, IEEE Trans. Neural Networks.

A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers

Gert R. G. Lanckriet, S. Marshall, S. Godbole, 2014, Physiological measurement.

A D.C. Programming Approach to the Sparse Generalized Eigenvalue Problem

Gert R. G. Lanckriet, Bharath K. Sriperumbudur, David A. Torres, 2009, 0901.1504.

MIREX 2011 AMS-AUDIO SIMILARITY VIA METRIC LEARNING

Gert R. G. Lanckriet, Brian McFee, 2011 .

Finding Musically Meaningful Words by Sparse CCA

Gert R. G. Lanckriet, David A. Torres, G. Lanckriet, 2007 .

Reproducing kernel space embeddings and metrics on probability measures

Gert R. G. Lanckriet, G. Lanckriet, Bharath Kumar Sriperumbudur Vangeepuram, 2010 .

Technical supplement to \Consistent probabilistic outputs for protein function prediction"

Michael I. Jordan, William Stafford Noble, Gert R. G. Lanckriet, 2008 .