Vamsi Krishna Potluru
Vamsi Krishna Potluru
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Independent component analysis for brain fMRI does indeed select for maximal independence
VD Calhoun, VK Potluru, R Phlypo, RF Silva, BA Pearlmutter, A Caprihan, ...
PloS one 8 (8), e73309, 2013
The tenth annual MLSP competition: schizophrenia classification challenge
RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ...
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
Sparse separation: Principles and tricks
BA Pearlmutter, VK Potluru
Independent Component Analyses, Wavelets, and Neural Networks 5102, 1-4, 2003
Group learning using contrast NMF: Application to functional and structural MRI of schizophrenia
VK Potluru, VD Calhoun
2008 IEEE International Symposium on Circuits and Systems, 1336-1339, 2008
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia
SM Plis, J Sui, T Lane, S Roy, VP Clark, VK Potluru, RJ Huster, A Michael, ...
Neuroimage 102, 35-48, 2014
Block coordinate descent for sparse NMF
VK Potluru, SM Plis, JL Roux, BA Pearlmutter, VD Calhoun, TP Hayes
arXiv preprint arXiv:1301.3527, 2013
Sparse shift-invariant NMF
VK Potluru, SM Plis, VD Calhoun
2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 69-72, 2008
How to fake multiply by a Gaussian matrix
M Kapralov, V Potluru, D Woodruff
International Conference on Machine Learning, 2101-2110, 2016
Driver prediction to improve interaction with in-vehicle HMI
B Harsham, S Watanabe, A Esenther, J Hershey, J Le Roux, Y Luan, ...
Proc. workshop on digital signal processing for in-vehicle systems (dsp), 2015
CometCloudCare (c3): distributed machine learning platform-as-a-service with privacy preservation
VK Potluru, J Diaz-Montes, AD Sarwate, SM Plis, VD Calhoun, ...
Efficient multiplicative updates for support vector machines
VK Potluru, SM Plis, M Mørup, VD Calhoun, T Lane
Proceedings of the 2009 SIAM International Conference on Data Mining, 1220-1231, 2009
Frugal coordinate descent for large-scale NNLS
V Potluru
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Method and system for detecting events in an acoustic signal subject to cyclo-stationary noise
JR Hershey, VK Potluru, J Le Roux
US Patent 9,477,895, 2016
Correlated noise: How it breaks NMF, and what to do about it
SM Plis, VK Potluru, T Lane, VD Calhoun
Journal of signal processing systems 65 (3), 351-359, 2011
Sparseness and a reduction from totally nonnegative least squares to svm
VK Potluru, SM Plis, S Luan, VD Calhoun, TP Hayes
The 2011 International Joint Conference on Neural Networks, 1922-1929, 2011
Conservative Exploration using Interleaving
S Katariya, B Kveton, Z Wen, VK Potluru
22nd International Conference on Artificial Intelligence and Statistics, 16 …, 2018
Understanding and Exploiting the Connections between NMF and SVM
VK Potluru
2011 IEEE 11th International Conference on Data Mining Workshops, 1207-1210, 2011
Automatic Differentiation of Sketched Regression
H Liao, BA Pearlmutter, VK Potluru, DP Woodruff
23rd International Conference on Artificial Intelligence and Statistics, 2020
Coordinate Descent for mixed-norm NMF
VK Potluru, J Le Roux, BA Pearlmutter, JR Hershey, ME Brand
Heuristics for Link Prediction in Multiplex Networks
RE Tillman, VK Potluru, J Chen, P Reddy, M Veloso
arXiv preprint arXiv:2004.04704, 2020
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