Prudhvi Gurram

发表

Quickest Event Detection Using Multimodal Data In Nonstationary Environments pdf

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps, 2019, ArXiv.

Human Action Attribute Learning From Video Data Using Low-Rank Representations pdf

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, 2016, ArXiv.

Decentralized Langevin Dynamics for Bayesian Learning

He Bai, Prudhvi Gurram, Anjaly Parayil, 2020, NeurIPS.

Detection of anomalous track patterns for long term surveillance

Prudhvi Gurram, Shuowen Hu, Alex Lipchen Chan, 2015, Defense + Security Symposium.

Clustering-aware structure-constrained low-rank representation model for learning human action attributes

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Hyperspectral anomaly detection using sparse kernel-based ensemble learning

Heesung Kwon, Prudhvi Gurram, Timothy S. Han, 2011, Defense + Commercial Sensing.

Distributed Stochastic Gradient Descent with Event-Triggered Communication

Prudhvi Gurram, Jemin George, Jemin George, 2020, AAAI.

Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification

Heesung Kwon, Prudhvi Gurram, Prudhvi K. Gurram, 2013, IEEE Geoscience and Remote Sensing Letters.

Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters

Heesung Kwon, Prudhvi Gurram, Prudhvi K. Gurram, 2011, IEEE Geoscience and Remote Sensing Letters.

Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification

Heesung Kwon, Prudhvi Gurram, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Optimal sparse kernel learning for hyperspectral anomaly detection

Wotao Yin, Heesung Kwon, Prudhvi Gurram, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Unsupervised pedestrian detection using support vector data description

Prudhvi Gurram, Shuowen Hu, Chris Reale, 2013, Defense, Security, and Sensing.

Hierarchical Union-of-Subspaces Model for Human Activity Summarization

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Sparse kernel learning-based feature selection for anomaly detection

Wotao Yin, Heesung Kwon, Prudhvi Gurram, 2015, IEEE Transactions on Aerospace and Electronic Systems.

Thermal-to-visible face recognition using multiple kernel learning

Heesung Kwon, Prudhvi Gurram, Shuowen Hu, 2014, Defense + Security Symposium.

Quickest Detection of Deviations from Periodic Statistical Behavior

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dimensionality analysis of facial signatures in visible and thermal spectra

Prudhvi Gurram, Shuowen Hu, Nathan Short, 2015, Defense + Security Symposium.

Algorithms for Multispectral and Hyperspectral Image Analysis

Heesung Kwon, Prudhvi Gurram, James Theiler, 2013, J. Electr. Comput. Eng..

A Decentralized Approach to Bayesian Learning pdf

He Bai, Prudhvi Gurram, Anjaly Parayil, 2020, ArXiv.

Hyperspectral anomaly detection using an optimized support vector data description method

Heesung Kwon, Prudhvi Gurram, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Kernel-based joint spectral and spatial exploitation using Hilbert space embedding for hyperspectral classification

Heesung Kwon, Prudhvi Gurram, Prudhvi K. Gurram, 2012, Defense + Commercial Sensing.

3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery

John P. Kerekes, Prudhvi Gurram, Eli Saber, 2007, 36th Applied Imagery Pattern Recognition Workshop (aipr 2007).

A Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics

Prudhvi Gurram, Eli Saber, Harvey E. Rhody, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Shapely value based random subspace selection for hyperspectral image classification

Heesung Kwon, Prudhvi Gurram, Charles Davidson, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems

Heesung Kwon, Prudhvi Gurram, Prudhvi K. Gurram, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Entropy metric regularization for computational imaging with sensor arrays

Prudhvi Gurram, Raghuveer M. Rao, 2014, 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection

Heesung Kwon, Prudhvi Gurram, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Sanity Checks for Saliency Metrics pdf

Prudhvi Gurram, Alun Preece, Supriyo Chakraborty, 2019, AAAI.

Uniform grid upsampling of 3D lidar point cloud data

Prudhvi Gurram, Shuowen Hu, Alex L. Chan, 2013, Electronic Imaging.

Entropy formulations for signal reconstruction from sensor arrays

Prudhvi Gurram, Raghuveer M. Rao, 2014, Sensing Technologies + Applications.

Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models pdf

Prudhvi Gurram, Alun Preece, Supriyo Chakraborty, 2020, ArXiv.

Distributed Deep Learning with Event-Triggered Communication pdf

Prudhvi Gurram, Jemin George, Jemin George, 2019, ArXiv.

Contextual SVM for hyperspectral classification using Hilbert Space Embedding

Heesung Kwon, Prudhvi Gurram, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Ensemble learning based on multiple kernel learning for hyperspectral chemical plume detection

Heesung Kwon, Prudhvi Gurram, Prudhvi K. Gurram, 2010, Defense + Commercial Sensing.

A novel triangulation method for building parallel-perspective stereo mosaics

Prudhvi Gurram, Eli Saber, Harvey Rhody, 2007, Electronic Imaging.

Extraction of digital elevation map from parallel-perspective stereo mosaics

Prudhvi Gurram, Eli Saber, Harvey Rhody, 2008, Electronic Imaging.

Interpretability of deep learning models: A survey of results

Alun D. Preece, Mani B. Srivastava, Prudhvi Gurram, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

Implementation of a Cascaded Histogram of Oriented Gradient (HOG)-Based Pedestrian Detector

Prudhvi Gurram, Shuowen Hu, Christopher Reale, 2013 .

Implementation of a cascaded HOG-based pedestrian detector

Prudhvi Gurram, Shuowen Hu, Christopher Reale, 2013, Defense, Security, and Sensing.

Semiautomated system for three-dimensional modeling of buildings from aerial video

Prudhvi Gurram, Eli Saber, Harvey E. Rhody, 2012, J. Electronic Imaging.

Wasserstein Distance Based Domain Adaptation for Object Detection pdf

Rama Chellappa, Prudhvi Gurram, Gene T. Whipps, 2019, ArXiv.

Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning

Tao Yang, Prudhvi Gurram, He Bai, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Coalition game theory based feature subset selection for hyperspectral image classification

Heesung Kwon, Prudhvi Gurram, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Classification of Shiga toxin-producing escherichia coli (STEC) serotypes with hyperspectral microscope imagery

Kurt C. Lawrence, Seung-Chul Yoon, William R. Windham, 2012, Defense + Commercial Sensing.

Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection

Heesung Kwon, Prudhvi Gurram, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Automated 3D object identification using Bayesian networks

Prudhvi Gurram, Eli Saber, Ferat Sahin, 2009, 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009).

Exploiting polarization-state information for cross-spectrum face recognition

Prudhvi Gurram, Shuowen Hu, Nathan J. Short, 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).

A Polarimetric Thermal Database for Face Recognition Research

Prudhvi Gurram, Benjamin S. Riggan, Shuowen Hu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning

Mani B. Srivastava, Tianwei Xing, Prudhvi Gurram, 2018, 2018 21st International Conference on Information Fusion (FUSION).

A Bayesian Theory of Change Detection in Statistically Periodic Random Processes pdf

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps, 2019, IEEE Transactions on Information Theory.

Sequential Event Detection Using Multimodal Data in Nonstationary Environments

Vahid Tarokh, Taposh Banerjee, Prudhvi Gurram, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems

Heesung Kwon, Prudhvi Gurram, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification

Heesung Kwon, Prudhvi Gurram, Charles Davidson, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

CYCLOSTATIONARY STATISTICAL MODELS AND ALGORITHMS FOR ANOMALY DETECTION USING MULTI-MODAL DATA

Vahid Tarokh, Taposh Banerjee, Prudhvi Gurram, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Sparse Kernel-Based Hyperspectral Anomaly Detection

Heesung Kwon, Prudhvi Gurram, Timothy Han, 2012, IEEE Geoscience and Remote Sensing Letters.

Augmenting saliency maps with uncertainty

Franck Le, Prudhvi Gurram, Lance Kaplan, 2021, Defense + Commercial Sensing.