Karthikeyan Natesan Ramamurthy
Karthikeyan Natesan Ramamurthy
Research Staff Member, IBM Thomas J Watson Research Center, Yorktown Heights, NY
Verified email at us.ibm.com - Homepage
Cited by
Cited by
Optimized pre-processing for discrimination prevention
F Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney
Advances in Neural Information Processing Systems, 3992-4001, 2017
Adaptive as-natural-as-possible image stitching
CC Lin, SU Pankanti, K Natesan Ramamurthy, AY Aravkin
Proceedings of the IEEE Conference on Computer Vision and Patterná…, 2015
AI Fairness 360: An extensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
arXiv preprint arXiv:1810.01943, 2018
Sparse representations for automatic target classification in SAR images
JJ Thiagarajan, KN Ramamurthy, P Knee, A Spanias, V Berisha
2010 4th international symposium on communications, control and signalá…, 2010
Method for market risk assessment for healthcare applications
S Mahatma, A Mojsilovic, KN Ramamurthy, KR Varshney, D Wei, ...
US Patent App. 14/699,482, 2016
Multiple kernel sparse representations for supervised and unsupervised learning
JJ Thiagarajan, KN Ramamurthy, A Spanias
IEEE transactions on Image Processing 23 (7), 2905-2915, 2014
Mixing matrix estimation using discriminative clustering for blind source separation
JJ Thiagarajan, KN Ramamurthy, A Spanias
Digital Signal Processing 23 (1), 9-18, 2013
FactSheets: Increasing trust in AI services through supplier's declarations of conformity
M Arnold, RKE Bellamy, M Hind, S Houde, S Mehta, A Mojsilović, R Nair, ...
IBM Journal of Research and Development 63 (4/5), 6: 1-6: 13, 2019
Multilevel dictionary learning for sparse representation of images
JJ Thiagarajan, KN Ramamurthy, A Spanias
2011 Digital Signal Processing and Signal Processing Education Meeting (DSPá…, 2011
Shift-invariant sparse representation of images using learned dictionaries
JJ Thiagarajan, KN Ramamurthy, A Spanias
2008 IEEE Workshop on Machine Learning for Signal Processing, 145-150, 2008
Kernel sparse models for automated tumor segmentation
JJ Thiagarajan, K Ramamurthy, A Spanias, D Frakes
US Patent 9,710,916, 2017
Persistent homology of attractors for action recognition
V Venkataraman, KN Ramamurthy, P Turaga
2016 IEEE international conference on image processing (ICIP), 4150-4154, 2016
Learning stable multilevel dictionaries for sparse representations
JJ Thiagarajan, KN Ramamurthy, A Spanias
IEEE Transactions on Neural Networks and Learning Systems 26 (9), 1913-1926, 2014
Optimality and stability of the K-hyperline clustering algorithm
JJ Thiagarajan, KN Ramamurthy, A Spanias
Pattern Recognition Letters 32 (9), 1299-1304, 2011
Image understanding using sparse representations
JJ Thiagarajan, KN Ramamurthy, P Turaga, A Spanias
Synthesis Lectures on Image, Video, and Multimedia Processing 7 (1), 1-118, 2014
TED: Teaching AI to explain its decisions
M Hind, D Wei, M Campbell, NCF Codella, A Dhurandhar, A Mojsilović, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2019
Method, system and computer program product for automating expertise management using social and enterprise data
JH Bauer, D Fang, A Mojsilovic, KN Ramamurthy, KR Varshney, J Wang
US Patent 10,643,140, 2020
Supervised local sparse coding of sub-image features for image retrieval
JJ Thiagarajan, KN Ramamurthy, P Sattigeri, A Spanias
2012 19th IEEE International Conference on Image Processing, 3117-3120, 2012
MATLAB« software for the code excited linear prediction algorithm: The federal standard-1016
KN Ramamurthy, AS Spanias
Synthesis Lectures on Algorithms and Software in Engineering 2 (1), 1-109, 2010
A deep learning approach to multiple kernel fusion
H Song, JJ Thiagarajan, P Sattigeri, KN Ramamurthy, A Spanias
2017 IEEE international conference on acoustics, speech and signalá…, 2017
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