Abhishek Singh
Abhishek Singh
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TitleCited byYear
Single image super-resolution from transformed self-exemplars
JB Huang, A Singh, N Ahuja
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
6292015
Using correntropy as a cost function in linear adaptive filters
A Singh, JC Principe
Neural Networks, 2009. IJCNN 2009. International Joint Conference on, 2950-2955, 2009
1692009
Super-resolving noisy images
A Singh, F Porikli, N Ahuja
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
512014
Information theoretic learning with adaptive kernels
A Singh, JC Príncipe
Signal Processing 91 (2), 203-213, 2011
472011
The C-loss function for pattern classification
A Singh, R Pokharel, J Principe
Pattern Recognition 47 (1), 441-452, 2014
452014
A loss function for classification based on a robust similarity metric
A Singh, JC Principe
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-6, 2010
382010
Super-resolution using sub-band self-similarity
A Singh, N Ahuja
Asian Conference on Computer Vision, 552-568, 2014
332014
A closed form recursive solution for maximum correntropy training
A Singh, JC Principe
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010
312010
Online learning with kernels: Overcoming the growing sum problem
A Singh, N Ahuja, P Moulin
Machine Learning for Signal Processing (MLSP), 2012 IEEE International …, 2012
30*2012
Single image super-resolution using adaptive domain transformation.
A Singh, N Ahuja
ICIP, 947-951, 2013
152013
Kernel width adaptation in information theoretic cost functions
A Singh, JC Principe
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010
142010
Background subtraction in videos using bayesian learning with motion information
P Jaikumar, A Singh, S Mitra
British Machine Vision Conference (BMVC), 2008
142008
Detection and tracking of objects in low contrast conditions
A Singh, P Jaikumar, SK Mitra, MV Joshi, A Banerjee
IEEE National Conference on Computer Vision, Pattern Recognition, Image …, 2008
112008
Hidden Markov Models for modeling blood pressure data to predict acute hypotension
A Singh, T Tamminedi, G Yosiphon, A Ganguli, J Yadegar
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010
92010
Classification using correntropy
JC Principe, A Singh
US Patent 9,269,050, 2016
52016
Classification using correntropy
JC Principe, A Singh
US Patent 9,269,050, 2016
52016
A Bayesian Learning Based Approach for Clustering of Satellite Images
A Singh, P Jaikumar, SK Mitra
Computer Vision, Graphics & Image Processing, 2008. ICVGIP'08. Sixth Indian …, 2008
52008
Learning ramp transformation for single image super-resolution
A Singh, N Ahuja
Computer Vision and Image Understanding 135, 109-125, 2015
42015
Background subtraction in videos using bayesian learning of gaussian mixture models
A Singh, S Mitra
IEEE Transact Image Process, 2009
42009
A sampling-resampling based bayesian learning approach for object tracking
A Singh, P Jaikumar, SK Mitra
Computer Vision, Graphics & Image Processing, 2008. ICVGIP'08. Sixth Indian …, 2008
42008
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Articles 1–20