Prudhvi Gurram
Prudhvi Gurram
JHU/APL
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Interpretability of deep learning models: A survey of results
S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ...
2017 IEEE smartworld, ubiquitous intelligence & computing, advanced …, 2017
2232017
A polarimetric thermal database for face recognition research
S Hu, NJ Short, BS Riggan, C Gordon, KP Gurton, M Thielke, P Gurram, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2016
582016
Improving cross-modal face recognition using polarimetric imaging
N Short, S Hu, P Gurram, K Gurton, A Chan
Optics letters 40 (6), 882-885, 2015
442015
Sparse kernel-based hyperspectral anomaly detection
P Gurram, H Kwon, T Han
IEEE Geoscience and Remote Sensing Letters 9 (5), 943-947, 2012
392012
Sparse kernel-based ensemble learning with fully optimized kernel parameters for hyperspectral classification problems
P Gurram, H Kwon
IEEE Transactions on Geoscience and Remote Sensing 51 (2), 787-802, 2012
372012
Contextual SVM using Hilbert space embedding for hyperspectral classification
P Gurram, H Kwon
IEEE Geoscience and Remote Sensing Letters 10 (5), 1031-1035, 2013
342013
Support-vector-based hyperspectral anomaly detection using optimized kernel parameters
P Gurram, H Kwon
IEEE Geoscience and Remote Sensing Letters 8 (6), 1060-1064, 2011
342011
3d scene reconstruction through a fusion of passive video and lidar imagery
P Gurram, S Lach, E Saber, H Rhody, J Kerekes
36th Applied Imagery Pattern Recognition Workshop (aipr 2007), 133-138, 2007
302007
Sanity checks for saliency metrics
R Tomsett, D Harborne, S Chakraborty, P Gurram, A Preece
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6021-6029, 2020
272020
Why the failure? how adversarial examples can provide insights for interpretable machine learning
R Tomsett, A Widdicombe, T Xing, S Chakraborty, S Julier, P Gurram, ...
2018 21st International Conference on Information Fusion (FUSION), 838-845, 2018
172018
Sparse kernel learning-based feature selection for anomaly detection
Z Peng, P Gurram, H Kwon, W Yin
IEEE Transactions on Aerospace and Electronic Systems 51 (3), 1698-1716, 2015
172015
Exploiting polarization-state information for cross-spectrum face recognition
N Short, S Hu, P Gurram, K Gurton
2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015
172015
Ensemble learning based on multiple kernel learning for hyperspectral chemical plume detection
P Gurram, H Kwon
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2010
172010
Detection of Non-O157 Shiga Toxin-Producing Escherichia coli (STEC) Serogroups with Hyperspectral Microscope Imaging Technology
B Park, WR Windham, SR Ladely, P Gurram, H Kwon, SC Yoon, ...
Transactions of the ASABE 57 (3), 973-986, 2014
162014
Sequential event detection using multimodal data in nonstationary environments
T Banerjee, G Whipps, P Gurram, V Tarokh
2018 21st International Conference on Information Fusion (FUSION), 1940-1947, 2018
132018
Hierarchical union-of-subspaces model for human activity summarization
T Wu, P Gurram, RM Rao, WU Bajwa
Proceedings of the IEEE International Conference on Computer Vision …, 2015
132015
Coalition game theory based feature subset selection for hyperspectral image classification
P Gurram, H Kwon
2014 IEEE Geoscience and Remote Sensing Symposium, 3446-3449, 2014
122014
Comparison of 1-D, 2-D and 3-D printer calibration algorithms with printer drift
PK Gurram, SA Dianat, LK Mestha, R Bala
NIP & Digital Fabrication Conference 2005 (2), 505-510, 2005
122005
Optimal sparse kernel learning in the empirical kernel feature space for hyperspectral classification
P Gurram, H Kwon
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
112014
Reducing the size of a high resolution profile lookup table
LK Mestha, PK Gurram
US Patent 8,441,691, 2013
112013
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Articles 1–20