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A Decentralized Approach to Bayesian Learning


Jul 14, 2020
Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram

* 52 pages, 29 figures 

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Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models


Mar 31, 2020
Liam Hiley, Alun Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett


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Sanity Checks for Saliency Metrics


Nov 29, 2019
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun Preece

* Accepted for publication at the Thirty Fourth AAAI conference on Artificial Intelligence (AAAI-20) 

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Wasserstein Distance Based Domain Adaptation for Object Detection


Sep 18, 2019
Pengcheng Xu, Prudhvi Gurram, Gene Whipps, Rama Chellappa


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Distributed Deep Learning with Event-Triggered Communication


Sep 08, 2019
Jemin George, Prudhvi Gurram

* arXiv admin note: substantial text overlap with arXiv:1908.06693 

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


Jul 02, 2018
Taposh Banerjee, Gene Whipps, Prudhvi Gurram, Vahid Tarokh


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


Dec 23, 2016
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

* Submitted for journal publication 

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Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection


Jun 08, 2015
Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin

* 4 pages, 1 figure, 5th workshop on Hyperspectral image and signal processing: evolution in remote sensing 

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