Prudhvi Gurram

55 papers A* 3A 1B 2C 8Misc 1Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Minimax asymptotically optimal quickest change detection for statistically periodic data. Signal Process. Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2021	J	`jnl`	A Bayesian Theory of Change Detection in Statistically Periodic Random Processes. IEEE Trans. Inf. Theory Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2020	J	`jnl`	A Decentralized Approach to Bayesian Learning. CoRR Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
2020	A*	`conf`	Decentralized Langevin Dynamics for Bayesian Learning. NeurIPS Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
2020	A*	`conf`	Distributed Stochastic Gradient Descent with Event-Triggered Communication. AAAI Jemin George, Prudhvi Gurram
2020	J	`jnl`	Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. CoRR Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett
2020	B	`conf`	Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes. ISIT Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2020	A*	`conf`	Sanity Checks for Saliency Metrics. AAAI Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
2020	A	`conf`	Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data. IROS Celso M. de Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan, B. S. Manjunath
2019	J	`jnl`	A Bayesian Theory of Change Detection in Statistically Periodic Random Processes. CoRR Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2019	—	`conf`	A Sequential Detection Theory for Statistically Periodic Random Processes. Allerton Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2019	B	`conf`	Bayesian Quickest Detection of Changes in Statistically Periodic Processes. ISIT Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2019	J	`jnl`	Distributed Deep Learning with Event-Triggered Communication. CoRR Jemin George, Prudhvi Gurram
2019	—	`conf`	Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CDC Jemin George, Tao Yang, He Bai, Prudhvi Gurram
2019	J	`jnl`	Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CoRR Jemin George, Tao Yang, He Bai, Prudhvi Gurram
2019	Misc	`conf`	Quickest Detection of Deviations from Periodic Statistical Behavior. ICASSP Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2019	J	`jnl`	Quickest Event Detection Using Multimodal Data In Nonstationary Environments. CoRR Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2019	J	`jnl`	Sanity Checks for Saliency Metrics. CoRR Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
2019	J	`jnl`	Wasserstein Distance Based Domain Adaptation for Object Detection. CoRR Pengcheng Xu, Prudhvi Gurram, Gene T. Whipps, Rama Chellappa
2018	—	`conf`	Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data. GlobalSIP Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
2018	J	`jnl`	Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data. CoRR Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
2018	J	`jnl`	Quickest Detection Of Deviations From Periodic Statistical Behavior. CoRR Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
2018	C	`conf`	Sequential Event Detection Using Multimodal Data in Nonstationary Environments. FUSION Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
2018	J	`jnl`	Sequential Event Detection Using Multimodal Data in Nonstationary Environments. CoRR Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
2018	C	`conf`	Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. FUSION Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava
2017	—	`conf`	Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 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
2016	—	`conf`	A Polarimetric Thermal Database for Face Recognition Research. CVPR Workshops Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan, Christopher Gordon, Kristan P. Gurton, Matthew Thielke, Prudhvi Gurram, Alex L. Chan
2016	—	`conf`	Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
2016	J	`jnl`	Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Prudhvi Gurram, Heesung Kwon, Charles Davidson
2016	J	`jnl`	Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
2015	—	`conf`	Exploiting polarization-state information for cross-spectrum face recognition. BTAS Nathaniel J. Short, Shuowen Hu, Prudhvi Gurram, Kristan P. Gurton
2015	—	`conf`	Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
2015	J	`jnl`	Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
2015	C	`conf`	Shapely value based random subspace selection for hyperspectral image classification. IGARSS Prudhvi Gurram, Heesung Kwon, Charles Davidson
2015	J	`jnl`	Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
2014	C	`conf`	Coalition game theory based feature subset selection for hyperspectral image classification. IGARSS Prudhvi Gurram, Heesung Kwon
2014	—	`conf`	Entropy metric regularization for computational imaging with sensor arrays. AIPR Prudhvi Gurram, Raghuveer M. Rao
2014	J	`jnl`	Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Prudhvi Gurram, Heesung Kwon
2013	J	`jnl`	Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram
2013	J	`jnl`	Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. Prudhvi Gurram, Heesung Kwon
2013	—	`conf`	Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin
2013	J	`jnl`	Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems. IEEE Trans. Geosci. Remote. Sens. Prudhvi Gurram, Heesung Kwon
2013	—	`conf`	Uniform grid upsampling of 3D lidar point cloud data. Three-Dimensional Image Processing (3DIP) and Applications Prudhvi Gurram, Shuowen Hu, Alex L. Chan
2012	C	`conf`	Contextual SVM for hyperspectral classification using Hilbert Space Embedding. IGARSS Prudhvi Gurram, Heesung Kwon
2012	—	`conf`	Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification. WHISPERS Prudhvi Gurram, Heesung Kwon
2012	J	`jnl`	Semiautomated system for three-dimensional modeling of buildings from aerial video. J. Electronic Imaging Prudhvi Gurram, Eli Saber, Harvey E. Rhody
2012	J	`jnl`	Sparse Kernel-Based Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. Prudhvi Gurram, Heesung Kwon, Timothy Han
2011	C	`conf`	Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. IGARSS Prudhvi Gurram, Heesung Kwon
2011	—	`conf`	Hyperspectral anomaly detection using an optimized support vector data description method. WHISPERS Prudhvi Gurram, Heesung Kwon
2011	J	`jnl`	Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters. IEEE Geosci. Remote. Sens. Lett. Prudhvi Gurram, Heesung Kwon
2010	J	`jnl`	A Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics. IEEE Trans. Geosci. Remote. Sens. Prudhvi Gurram, Eli Saber, Harvey E. Rhody
2010	C	`conf`	A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. IGARSS Prudhvi Gurram, Heesung Kwon
2010	C	`conf`	Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. IGARSS Heesung Kwon, Prudhvi Gurram
2009	—	`conf`	Automated 3D object identification using Bayesian networks. AIPR Prudhvi Gurram, Eli Saber, Ferat Sahin, Harvey E. Rhody
2007	—	`conf`	3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery. AIPR Prudhvi Gurram, Stephen R. Lach, Eli Saber, Harvey E. Rhody, John P. Kerekes