Prudhvi Gurram

According to our database, Prudhvi Gurram authored at least 48 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Minimax asymptotically optimal quickest change detection for statistically periodic data.

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

Signal Process., February, 2024

2021

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

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

IEEE Trans. Inf. Theory, 2021

2020

A Decentralized Approach to Bayesian Learning.

Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram

CoRR, 2020

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

Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett

CoRR, 2020

Decentralized Langevin Dynamics for Bayesian Learning.

Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes.

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

Proceedings of the IEEE International Symposium on Information Theory, 2020

Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data.

Celso M. de Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan, B. S. Manjunath

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sanity Checks for Saliency Metrics.

Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Distributed Stochastic Gradient Descent with Event-Triggered Communication.

Jemin George, Prudhvi Gurram

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Wasserstein Distance Based Domain Adaptation for Object Detection.

Pengcheng Xu, Prudhvi Gurram, Gene T. Whipps, Rama Chellappa

CoRR, 2019

Distributed Deep Learning with Event-Triggered Communication.

Jemin George, Prudhvi Gurram

CoRR, 2019

Quickest Event Detection Using Multimodal Data In Nonstationary Environments.

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

CoRR, 2019

Bayesian Quickest Detection of Changes in Statistically Periodic Processes.

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

Proceedings of the IEEE International Symposium on Information Theory, 2019

Quickest Detection of Deviations from Periodic Statistical Behavior.

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Jemin George, Tao Yang, He Bai, Prudhvi Gurram

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Sequential Detection Theory for Statistically Periodic Random Processes.

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data.

Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

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

Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava

Proceedings of the 21st International Conference on Information Fusion, 2018

Sequential Event Detection Using Multimodal Data in Nonstationary Environments.

Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Interpretability of deep learning models: A survey of results.

Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification.

Prudhvi Gurram, Heesung Kwon, Charles Davidson

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

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

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

CoRR, 2016

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

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

A Polarimetric Thermal Database for Face Recognition Research.

Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan, Christopher Gordon, Kristan P. Gurton, Matthew Thielke, Prudhvi Gurram, Alex L. Chan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning.

Shuowen Hu, Nathaniel J. Short, Prudhvi K. Gurram, Kristan P. Gurton, Christopher Reale

Proceedings of the Face Recognition Across the Imaging Spectrum, 2016

2015

Sparse kernel learning-based feature selection for anomaly detection.

Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin

IEEE Trans. Aerosp. Electron. Syst., 2015

Shapely value based random subspace selection for hyperspectral image classification.

Prudhvi Gurram, Heesung Kwon, Charles Davidson

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Hierarchical Union-of-Subspaces Model for Human Activity Summarization.

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Exploiting polarization-state information for cross-spectrum face recognition.

Nathaniel J. Short, Shuowen Hu, Prudhvi Gurram, Kristan P. Gurton

Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015

2014

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

Prudhvi Gurram, Heesung Kwon

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Coalition game theory based feature subset selection for hyperspectral image classification.

Prudhvi Gurram, Heesung Kwon

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Entropy metric regularization for computational imaging with sensor arrays.

Prudhvi Gurram, Raghuveer M. Rao

Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014

2013

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

Prudhvi Gurram, Heesung Kwon

IEEE Trans. Geosci. Remote. Sens., 2013

Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification.

Prudhvi Gurram, Heesung Kwon

IEEE Geosci. Remote. Sens. Lett., 2013

Algorithms for Multispectral and Hyperspectral Image Analysis.

Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram

J. Electr. Comput. Eng., 2013

Optimal sparse kernel learning for hyperspectral anomaly detection.

Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Uniform grid upsampling of 3D lidar point cloud data.

Prudhvi Gurram, Shuowen Hu, Alex L. Chan

Proceedings of the Three-Dimensional Image Processing (3DIP) and Applications 2013, 2013

2012

Sparse Kernel-Based Hyperspectral Anomaly Detection.

Prudhvi Gurram, Heesung Kwon, Timothy Han

IEEE Geosci. Remote. Sens. Lett., 2012

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

Prudhvi Gurram, Eli Saber, Harvey E. Rhody

J. Electronic Imaging, 2012

Contextual SVM for hyperspectral classification using Hilbert Space Embedding.

Prudhvi Gurram, Heesung Kwon

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

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

Prudhvi Gurram, Heesung Kwon

IEEE Geosci. Remote. Sens. Lett., 2011

Hyperspectral anomaly detection using an optimized support vector data description method.

Prudhvi Gurram, Heesung Kwon

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems.

Prudhvi Gurram, Heesung Kwon

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

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

Prudhvi Gurram, Eli Saber, Harvey E. Rhody

IEEE Trans. Geosci. Remote. Sens., 2010

Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection.

Heesung Kwon, Prudhvi Gurram

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

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

Prudhvi Gurram, Heesung Kwon

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Automated 3D object identification using Bayesian networks.

Prudhvi Gurram, Eli Saber, Ferat Sahin, Harvey E. Rhody

Proceedings of the 2009 IEEE Applied Imagery Pattern Recognition Workshop, 2009

2007

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

Prudhvi Gurram, Stephen R. Lach, Eli Saber, Harvey E. Rhody, John P. Kerekes

Proceedings of the 36th Applied Imagery Pattern Recognition Workshop, 2007