Karthikeyan Natesan Ramamurthy  Karthikeyan Natesan Ramamurthy photo         

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
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Professional Associations

Professional Associations:  IEEE  |  IEEE Signal Processing Society


2019



2018

Teaching Meaningful Explanations
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
Technical Report, 2018
Abstract

Distribution-preserving k-anonymity
Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
Statistical Analysis and Data Mining 11(6), 253-270, 2018

Perturbation Robust Representations of Topological Persistence Diagrams
Som, Anirudh and Thopalli, Kowshik and Ramamurthy, Karthikeyan Natesan and Venkataraman, Vinay and Shukla, Ankita and Turaga, Pavan
arXiv preprint arXiv:1807.10400, 2018
Abstract

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis
Flavio Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, and Kush R. Varshney
IEEE Journal of Selected Topics in Signal Processing, 2018

Topological Data Analysis of Decision Boundaries with Application to Model Selection
Ramamurthy, Karthikeyan Natesan and Varshney, Kush R and Mody, Krishnan
arXiv preprint arXiv:1805.09949, 2018
Abstract

Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections
Thiagarajan, Jayaraman J and Liu, Shusen and Ramamurthy, Karthikeyan Natesan and Bremer, P-T
Computer Graphics Forum, pp. 241--251, 2018
Abstract


2017

Distributed Bundle Adjustment.
Ramamurthy, Karthikeyan Natesan and Lin, Chung-Ching and Aravkin, Aleksandr Y and Pankanti, Sharath and Viguier, Raphael
ICCV Workshops, pp. 2146--2154, 2017
Abstract

Learning Robust Representations for Computer Vision.
Zheng, Peng and Aravkin, Aleksandr Y and Thiagarajan, Jayaraman J and Ramamurthy, Karthikeyan Natesan
ICCV Workshops, pp. 1784--1791, 2017
Abstract

Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity
Som, Anirudh and Krishnamurthi, Narayanan and Venkataraman, Vinay and Ramamurthy, Karthikeyan Natesan and Turaga, Pavan
Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on, pp. 938--942
Abstract

An end-to-end machine learning pipeline that ensures fairness policies
Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Dennis Wei
Data for Good Exchange, pp. 1-5, 2017

How to foster innovation: A data-driven approach to measuring economic competitiveness
Kuhlman, Caitlin and Ramamurthy, Karthikeyan Natesan and Sattigeri, Prasanna and Lozano, Aurelie C and Cao, Lei and Reddy, Chandra and Mojsilovi{\'c}, Aleksandra and Varshney, Kush R
IBM Journal of Research and Development 61(6), 11--1, IBM, 2017
Abstract

A configurable, big data system for on-demand healthcare cost prediction
Karthikeyan Natesan Ramamurthy, Dennis Wei, Emily A. Ray, Moninder Singh, Vijay Iyengar, Dmitriy Katz-Rogozhnikov, Jingwei Yang, Kevin N. Tran, Gigi Yuen-Reed
IEEE International Conference on Big Data, pp. 1524-1533, IEEE, 2017

Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties
Yu, Ming and Thompson, Addie M and Ramamurthy, Karthikeyan Natesan and Yang, Eunho and Lozano, Aur{\'e}lie C
arXiv preprint arXiv:1710.01788, 2017
Abstract

A deep learning approach to multiple kernel fusion
Song, Huan and Thiagarajan, Jayaraman J and Sattigeri, Prasanna and Ramamurthy, Karthikeyan Natesan and Spanias, Andreas
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on, pp. 2292--2296
Abstract

Shape Parameter Estimation
Zheng, Peng and Aravkin, Aleksandr Y and Ramamurthy, Karthikeyan Natesan
arXiv preprint arXiv:1706.01865, 2017
Abstract


2016

Auto-context modeling using multiple Kernel learning
Song, Huan and Thiagarajan, Jayaraman J and Ramamurthy, Karthikeyan Natesan and Spanias, Andreas
Image Processing (ICIP), 2016 IEEE International Conference on, pp. 1868--1872
Abstract

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning
Thiagarajan, Jayaraman J and Kailkhura, Bhavya and Sattigeri, Prasanna and Ramamurthy, Karthikeyan Natesan
arXiv preprint arXiv:1611.07429, 2016
Abstract

Robust Local Scaling using Conditional Quantiles of Graph Similarities
Thiagarajan, Jayaraman J and Sattigeri, Prasanna and Ramamurthy, Karthikeyan Natesan and Kailkhura, Bhavya
arXiv preprint arXiv:1612.04875, 2016
Abstract

Measuring glomerular number from kidney MRI images
Jayaraman Thiagarajan, Karthikeyan Natesan Ramamurthy, Berkay Kanberoglu, David Frakes, Kevin Bennett, and Andreas Spanias
SPIE Medical Imaging, pp. 978412--978412, 2016

Empirically-estimable multi-class classification bounds
Alan Wisler, Visar Berisha, Dennis Wei, Karthikeyan Ramamurthy, and Andreas Spanias
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2594--2598

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams
Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, and Pavan Turaga
arXiv preprint arXiv:1605.08912, 2016

Persistent Homology of Attractors For Action Recognition
Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, and Pavan Turaga
arXiv preprint arXiv:1603.05310, 2016

Consensus inference on mobile phone sensors for activity recognition
Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2294--2298


2015

Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity
Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
SIAM Data Mining, 2015

Persistent topology of decision boundaries
Kush R. Varshney, Karthikeyan Natesan Ramamurthy
IEEE ICASSP, 2015

A Talent Management Tool using Propensity to Leave Analytics
Karthikeyan Natesan Ramamurthy, Moninder Singh, Yichong Yu, Jessica Aspis, Matthew Iames, Michael Peran, Qin Held
IEEE Data Science and Advanced Analytics, 2015

Identifying Employees for Re-Skilling using an Analytics-Based Approach
Karthikeyan Natesan Ramamurthy, Moninder Singh, Michael Davis, J. Alex Kevern, Michael Peran
IEEE ICDM Workshops, 2015

Toward Comprehensive Attribution of Healthcare Cost Changes
Dmitriy Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovi c
IEEE ICDM Workshops, 2015

Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond
Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
ACM Journal of Data and Information Quality, 2015

Automatic Inference of the Quantile Parameter
Karthikeyan Natesan Ramamurthy, Aleksandr Y Aravkin, Jayaraman J Thiagarajan
arXiv preprint arXiv:1511.03990, 2015

Robust Partially-Compressed Least-Squares
Stephen Becker, Ban Kawas, Marek Petrik, Karthikeyan Natesan Ramamurthy
arXiv preprint arXiv:1510.04905, 2015

Removing data with noisy responses in regression analysis
Alan Wisler, Visar Berisha, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Julie Liss
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, pp. 2066--2070

Subspace learning using consensus on the grassmannian manifold
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, pp. 2031--2035

Adaptive As-Natural-As-Possible Image Stitching
Chung-Ching Lin, Sharathchandra U Pankanti, Karthikeyan Natesan Ramamurthy, Aleksandr Y Aravkin
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1155--1163, 2015


2014

A scalable feature learning and tag prediction framework for natural environment sounds
Sattigeri, Prasanna and Thiagarajan, Jayaraman J and Shah, Mohit and Ramamurthy, Karthikeyan Natesan and Spanias, Andreas
2014 48th Asilomar Conference on Signals, Systems and Computers, pp. 1779--1783

Consensus inference with multilayer graphs for multi-modal data
Ramamurthy, Karthikeyan Natesan and Thiagarajan, Jayaraman J and Sridhar, Rahul and Kothandaraman, Premnishanth and Nachiappan, Ramanathan
2014 48th Asilomar Conference on Signals, Systems and Computers, pp. 1341--1345

Learning stable multilevel dictionaries for sparse representations
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2014

Automatic image annotation using inverse maps from semantic embeddings
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias
Image Processing (ICIP), 2014 IEEE International Conference on, pp. 3107--3111

Kalman smoothing with persistent nuisance parameters
Aleksandr Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto
Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on, pp. 1--6

Multiplicative regression via constrained least squares
Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy Katz-Rogozhnikov, Aleksandra Mojsilovic
Statistical Signal Processing (SSP), 2014 IEEE Workshop on, pp. 304--307

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation
Jayaraman J Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp. 6751--6755

Computing persistent homology under random projection
Karthikeyan Natesan Ramamurthy, Kush R Varshney, Jayaraman J Thiagarajan
Statistical Signal Processing (SSP), 2014 IEEE Workshop on, pp. 105--108

Image Understanding Using Sparse Representations
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan Turaga, Andreas Spanias
Synthesis Lectures on Image, Video, and Multimedia Processing 7(1), 1--118, Morgan \& Claypool Publishers, 2014

Beyond L2-Loss Functions for Learning Sparse Models
Karthikeyan Natesan Ramamurthy, Aleksandr Y Aravkin, Jayaraman J Thiagarajan
arXiv preprint arXiv:1403.6706, 2014

Kernel Sparse Models for Automated Tumor Segmentation
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Andreas Spanias, Anup Puri, David Frakes
International Journal on Artificial Intelligence Tools 23(03), 1460004, World Scientific Publishing Company, 2014

Multiple kernel sparse representations for supervised and unsupervised learning
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
Image Processing, IEEE Transactions on 23(7), 2905--2915, IEEE, 2014

Recovering non-negative and combined sparse representations
Karthikeyan Natesan Ramamurthy, Jayaraman J Thiagarajan, Andreas Spanias
Digital Signal Processing26, 21--35, Academic Press, 2014


2013

Learning stable multilevel dictionaries for sparse representation of images
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
IEEE Trans. on Neural Networks and Learning Systems (Under review), 2013


Quantile regression for workforce analytics
Karthikeyan Natesan Ramamurthy, Kush R Varshney, Moninder Singh
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, pp. 1134--1134

Quantifying and recommending expertise when new skills emerge
Dongping Fang, Kush R Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H Bauer
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, pp. 672--679

Boosted dictionaries for image restoration based on sparse representations
Karthikeyan Natesan Ramamurthy, Jayaraman J Thiagarajan, Andreas Spanias, Prasanna Sattigeri
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, pp. 1583--1587

A heterogeneous dictionary model for representation and recognition of human actions
Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J Thiagarajan, Pavan Turaga, Andreas Spanias
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, pp. 3472--3476

Ensemble sparse models for image analysis
Karthikeyan Natesan Ramamurthy, Jayaraman J Thiagarajan, Prasanna Sattigeri, Andreas Spanias
arXiv preprint arXiv:1302.6957, 2013

Mixing matrix estimation using discriminative clustering for blind source separation
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
Digital Signal Processing 23(1), 9--18, Academic Press, 2013


2012

Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, and Panos Nasiopoulos
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on, pp. 494--497

Local Sparse Coding for Image Classification and Retrieval
Jayaraman J Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
Technical Report, 2012

Learning dictionaries with graph embedding constraints
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, and Andreas Spanias
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), pp. 1974--1978

Automated tumor segmentation using kernel sparse representations
Jayaraman J. Thiagarajan, Deepta Rajan, Karthikeyan Natesan Ramamurthy, David Frakes, and Andreas Spanias
Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on, pp. 401--406

Implementation of a fast image coding and retrieval system using a GPU
Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
Emerging Signal Processing Applications (ESPA), 2012 IEEE International Conference on, pp. 5--8

Supervised local sparse coding of sub-image features for image retrieval
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, and Andreas Spanias
2012 19th IEEE International Conference on Image Processing, pp. 3117--3120


2011

Transform domain features for ion-channel signal classification
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Michael Goryll, Andreas Spanias, , Trevor Thornton, and Stephen M. Phillips
Biomedical Signal Processing and Control 6(3), 219--224, Elsevier, 2011

Optimized measurements for kernel compressive sensing
Karthikeyan Natesan Ramamurthy and Andreas Spanias
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), pp. 1443--1446

Optimality and stability of the K-hyperline clustering algorithm
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
Pattern Recognition Letters 32(9), 1299--1304, Elsevier, 2011

SAR target classification using sparse representations and spatial pyramids
Peter Knee, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
2011 IEEE RadarCon (RADAR), pp. 294--298

Multilevel dictionary learning for sparse representation of images
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE), 2011 IEEE, pp. 271--276

Improved sparse coding using manifold projections
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, and Andreas Spanias
2011 18th IEEE International Conference on Image Processing, pp. 1237--1240


2010

Sparse representations for automatic target classification in SAR images
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Peter Knee, Andreas Spanias, and Visar Berisha
Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on, pp. 1--4

Dimensionality Reduction for Distance Based Video Clustering
Jayaraman J. Thiagarajan, Karthikeyan N. Ramamurthy, and Andreas Spanias
IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 270--277, 2010

Template Learning using Wavelet Domain Statistical Models
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, and Andreas Spanias
Research and Development in Intelligent Systems XXVI, pp. 179--192, Springer, 2010


2009

Transform domain features for ion-channel signal classification using support vector machines
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Bharatan Konnanath, Andreas Spanias, Trevor Thornton, Shalini Prasad, Michael Goryll, Stephen Phillips, and Stephen Goodnick
2009 9th International Conference on Information Technology and Applications in Biomedicine, pp. 1--4

Fast image registration with non-stationary Gauss-Markov random field templates
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, and Andreas Spanias
2009 16th IEEE International Conference on Image Processing (ICIP), pp. 185--188

Sparse representations for pattern classification using learned dictionaries
Jayaraman J. Thiagarajan, Karthikeyan N. Ramamurthy, and Andreas Spanias
Research and Development in Intelligent Systems XXV, pp. 33--45, Springer, 2009


2008

Shift-invariant sparse representation of images using learned dictionaries
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, and Andreas Spanias
2008 IEEE Workshop on Machine Learning for Signal Processing, pp. 145--150


Year Unknown

PROPENSITY MODELING FOR EMPLOYEE RE-SKILLING
Singh, Moninder and Ramamurthy, Karthikeyan Natesan and Vasudevan, Shrihari
shriharivasudevan.com, 0
Abstract