Data Science       

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Data Science Publications



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

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

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings
Young Tae Chae, Raya Horesh, Youngdeok Hwang, Young M Lee
Energy and Buildings111, 184--194, Elsevier, 2016

Engineering Safety in Machine Learning
Kush R. Varshney
Information Theory and Applications Workshop, 2016

Fidelity Loss in Distribution-Preserving Anonymization and Histogram Equalization
Lav R. Varshney, Kush R. Varshney
Conference on Information Sciences and Systems, 2016

Distribution-preserving k-anonymity
Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
submitted, 2016

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

Interpretable two-level Boolean rule learning for classification
Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
submitted, 2016

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

Olfactory Signal Processing
Kush R. Varshney, Lav R. Varshney
Digital Signal Processing48, 84-92, 2016

Associative Algorithms for Computational Creativity
Lav R. Varshney, Jun Wang, Kush R. Varshney
Journal of Creative Behavior, 2016


2015

A Multilevel Method for the Solution of Time Dependent Optimal Transport
Eldad Haber, Raya Horesh
Numerical Mathematics: Theory, Methods and Applications8, 97--111, 2015

Optimal HVAC control as demand response with on-site energy storage and generation system
Young M. Lee, Raya Horesh, Leo Liberti
6th International Building Physics Conference, IBPC 2015

Simulation and Optimization Of Energy Efficient Operation Of HVAC System As Demand Response With Distributed Energy Resources
Young M. Lee, Raya Horesh, Leo Liberti
Proceedings of the 2015 Winter Simulation Conference

Toward comprehensive attribution of healthcare cost changes
Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
IEEE International Conference on Data Mining Workshop (ICDMW) on Biological Data Mining and its Applications in Healthcare, 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

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

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

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

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

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

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

Predictive and Descriptive Analysis on Relations Graphs with Heterogeneous Entities
Aleksandra Mojsilovic, Kush R. Varshney, Jun Wang
Patent 9,195,941

Predictive Modeling of Customer Repayment for Sustainable Pay-As-You-Go Solar Power in Rural India
Hugo Gerard, Kamalesh Rao, Mark Simithraaratchy, Kush R. Varshney, Kunal Kabra, G. Paul Needham
Data for Good Exchange, 2015


From Open Data Ecosystems to Systems of Innovation: A Journey to Realize the Promise of Open Data
Shubir Kapoor, Aleksandra Mojsilovic, Jade Nguyen Strattner, Kush R. Varshney
Data for Good Exchange, 2015

Learning Interpretable Clinical Prediction Rules using Threshold Group Testing
Amin Emad, Kush R. Varshney, Dmitry M. Malioutov
NIPS Workshop on Machine Learning in Healthcare, 2015

Assessing Expertise in the Enterprise: The Recommender Point of View
Aleksandra Mojsilovic, Kush R. Varshney
ACM Recommender Systems Conference, 2015

Importance-weighted adaptive search for multi-class targets
Gregory E Newstadt, Beipeng Mu, Dennis Wei, Jonathan P How, Alfred O Hero III
IEEE Transactions on Signal Processing 63(23), 6299-6314, 2015

Adaptive Sensing Resource Allocation Over Multiple Hypothesis Tests
Dennis Wei
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015

A dictionary approach to electron backscatter diffraction indexing
Yu-Hui Chen, Se Un Park, Dennis Wei, Gregory Newstadt, Michael A. Jackson, Jeffrey P. Simmons, Marc De Graef, Alfred O. Hero
Microscopy and Microanalysis 21(3), 739-752, 2015

Statistical estimation and clustering of group-invariant orientation parameters
Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Marc De Graef, Jeffrey P. Simmons, Alfred O. Hero
International Conference on Information Fusion, 2015

Coercive region-level registration for multi-modal images
Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Jeffrey P. Simmons, Alfred O. Hero
IEEE International Conference on Image Processing (ICIP), 2015

Health insurance market risk assessment: Covariate shift and k-anonymity
Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
SIAM International Conference on Data Mining (SDM), 2015

Adaptive search for multi-class targets with heterogeneous importance
Beipeng Mu, Gregory Newstadt, Dennis Wei, Alfred O. Hero, Jonathan P. How
International Conference on Information Fusion, 2015

Learning Interpretable Classification Rules via Boolean Compressed Sensing
Dmitry M. Malioutov, Kush R. Varshney, Sanjeeb Dash
Joint Statistical Meetings, 2015

Persistent Topology of Decision Boundaries
Kush R. Varshney, Karthikeyan Natesan Ramamurthy
ICASSP, 2015

Robust binary hypothesis testing under contaminated likelihoods
Dennis Wei and Kush R. Varshney
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015


Parameter estimation in spherical symmetry groups
Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Marc De Graef, Jeffrey Simmons, Alfred O. Hero
IEEE Signal Processing Letters 22(8), 1152-1155, 2015

Optigrow: People analytics for job transfers
Dennis Wei, Kush R. Varshney, Marcy Wagman
IEEE Big Data Congress, 2015



Targeting Villages for Rural Development Using Satellite Image Analysis
Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco
Big Data, 2015

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

Performance guarantees for adaptive estimation of sparse signals
Dennis Wei, Alfred O. Hero
IEEE Transactions on Information Theory 61(4), 2043-2059, 2015

Adaptive search and tracking of sparse dynamic targets under resource constraints
Gregory Newstadt, Dennis Wei, Alfred O. Hero
IEEE Transactions on Signal Processing 63(9), 2321-2335, 2015


2014

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

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

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

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

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

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

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

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

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

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

Legislative Prediction with Political and Social Network Analysis
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
Encyclopedia of Social Network Analysis and Mining, pp. 804-811, Springer, 2014

Self-Taught Spectral Clustering via Constraint Augmentation
X. Wang and J. Wang and B. Qian and F. Wang and I. Davidson
Proceedings of the 14th SIAM International Conference on Data Mining (SDM), pp. 416-424, 2014

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers for High-dimensional Data
J. Yi and L. Zhang and J. Wang and R. Jin and A. Jain
The 31st International Conference on Machine Learning (ICML 2014)

Doubly Regularized Portfolio with Risk Minimization
W. Shen, J. Wang, S. Ma
The Twenty-Eighth AAAI Conference (AAAI-14), 2014

Privacy and Regression Model Preserved Learning
J. Yi and J. Wang and R. Jin
The Twenty-Eighth AAAI Conference (AAAI-14), 2014

Neurally and ocularly informed graph-based Q1 models for searching 3D environments
D. C Jangraw and J. Wang and B. J Lance and S.-F. Chang and P. Sajda
Journal of Neural Engineering, 2014

Analytics for Smarter Buildings
Young M Lee, Lianjun An, Fei Liu, Raya Horesh, Young Tae Chae, Rui Zhang
International Journal of Business Analytics (IJBAN) 1(1), 1--15, IGI Global, 2014

SENSORY HOLOGRAMS
Horesh, R. ARAVKIN, A. Horesh, L. Kanevsky, D. Wynne, J. J.

SYSTEM, METHOD AND APPARATUS FOR DIRECTED DISPLAY OF CONFIDENTIAL INFORMATION ON MOBILE DEVICES (FOR YOUR EYES ONLY)
Horesh, R. Cohen, G. Horesh, L. Pistoia, M.

Optimal grouping for group minimax hypothesis testing
Kush R Varshney, Lav R Varshney
IEEE Transactions on Information Theory, 2014



Predicting Employee Expertise for Talent Management in the Enterprise
Kush R Varshney, Vijil Chenthamarakshan, Scott W Fancher, Jun Wang, Dongping Fang, Aleksandra Mojsilovic
KDD, 2014


An Analysis of Losing Unimportant Points in Tennis
Kush R Varshney
KDD Workshop on Large-Scale Sports Analytics, 2014

ACTIVE ODOR CANCELLATION
Kush R Varshney, Lav R Varshney
IEEE Statistical Signal Processing Workshop, 2014

FOOD STEGANOGRAPHY WITH OLFACTORY WHITE
Kush R Varshney, Lav R Varshney
IEEE Statistical Signal Processing Workshop, 2014

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

Collaborative Kalman Filtering for Dynamic Matrix Factorization
J Sun, Dhruv Parthasarathy, K Varshney
IEEE Transactions on Signal Processing, 2014

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
Mujdat Cetin, Ivana Stojanovic, O Onhon, K Varshney, Sadegh Samadi, W Karl, A Willsky
Signal Processing Magazine, IEEE 31(4), 27--40, IEEE, 2014

Talent Analytics to Predict Employee Job Roles and Skill Sets Using Diverse Data Sources
Kush R. Varshney, Vijil Chenthamarakshan, Jun Wang, Dongping Fang, Aleksandra Mojsilovic
International Symposium on Business and Industrial Statistics and Conference of the ASA Section on Statistical Learning and Data Mining, 2014

Personalization of Product Novelty Assessment via Bayesian Surprise
Nan Shao, Kush R. Varshney, Lav R. Varshney, Florian Pinel, Anshul Sheopuri, Pavankumar Murali
Joint Statistical Meetings, 2014

Talent Analytics to Predict Employee Job Roles and Skill Sets Using Diverse Data Sources
Kush R. Varshney, Vijil Chenthamarakshan, Jun Wang, Dongping Fang, Aleksandra Mojsilovic
International Symposium on Business and Industrial Statistics and Conference of the ASA Section on Statistical Learning and Data Mining, 2014

Jointly Sparse Global SIMPLS Regression
Tzu-Yu Liu, Laura Trinchera, Arthur Tenenhaus, Dennis Wei, Alfred O Hero
arXiv preprint arXiv:1408.0318, 2014

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High Dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin and Anil K. Jain
Proceedings of the 31th International Conference on Machine Learning (ICML), 2014

Efficient Algorithms for Robust One-bit Compressive Sensing
Lijun Zhang, Jinfeng Yi, and Rong Jin,
Proceedings of the 31th International Conference on Machine Learning (ICML), 2014

Privacy and Regression Model Preserved Learning
Jinfeng Yi, Jun Wang, and Rong Jin
Proceedings of the 28th National Conference on Arti cial Intelligence (AAAI), 2014

Forward modeling and a new dictionary-based approach to EBSD pattern indexing
Se Un Park, Yu-Hui Chen, Michael Jackson, Megna Shah, Dennis Wei, Jeff P. Simmons, Alfred O. Hero, Marc De Graef
Electron Back-Scattered Diffraction (EBSD), 2014

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

Marginal likelihoods for distributed parameter estimation of Gaussian graphical models
Zhaoshi Meng, Dennis Wei, Ami Wiesel, Alfred O. Hero
IEEE Transactions on Signal Processing 62(20), 5425-5438, 2014

Spectral correlation hub screening of multivariate time series
Hamed Firouzi, Dennis Wei, Alfred O. Hero
Excursions in Harmonic Analysis, Springer-Birkhaeuser, 2014

Provable Deterministic Leverage Score Sampling
Dimitris Papailiopoulos, Anastasios Kyrillidis, Christos Boutsidis
Technical Report, 2014

Optimal CUR Matrix Decompositions
Christos Boutsidis, David Woodruff
ACM Symposium on Theory of Computing (STOC), 2014

Efficient Dimensionality Reduction for Canonical Correlation Analysis
Haim Avron, Christos Boutsidis, Sivan Toledo, Anastasios Zouzias
SIAM Journal on Scientific Computing, to appear 36(5), S111--S131, SIAM, 2014

Faster SVD-truncated Regularized Least-squares
Christos Boutsidis, Malik Magdon-Ismail
Technical Report, 2014

Random Projections for Linear Support Vector Machines
S. Paul, C. Boutsidis, M. Magdon-Ismail, P. Drineas
ACM Transactions on Knowledge Discovery from Data, to appear, 2014

A Note on Sparse Least-squares Regression
C. Boutsidis and M. Magdon-Ismail
Information Processing Letters, to appear, 2014

Approximate Spectral Clustering via Randomized Sketching
A. Gittens, A. Kambadur, C. Boutsidis.
Technical Report, updated Feb 15, 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

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

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

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

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

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

Applying science and mathematics to big data for smarter buildings
Young M Lee, Lianjun An, Fei Liu, Raya Horesh, Young Tae Chae, Rui Zhang
Annals of the New York Academy of Sciences 1295(1), 18--25, Wiley Online Library, 2013

Building Energy Performance Analytics on Cloud as a Service
Y. M. Lee, L. An, F. Liu, R. Horesh, Y. T. Chae, R. Zhang, E. Meliksetian, P. Chowdhary, P. Nevill, and J. L. Snowdon
Service Science 5(2), 124-136, INFORMS, 2013

IBM TJ Watson Research Center, 1101 Kitchawan Road Yorktown Heights, NY 10598, USA
Lianjun An, Young Tae Chae, Raya Horesh, Young Lee, Rui Zhang
Simulation Conference (WSC), 2013 Winter, pp. 1869--1880


Prescriptive Analytics for Allocating Sales Teams to Opportunities
Ban Kawas, Mark S Squillante, Dharmashankar Subramanian, Kush R Varshney
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, pp. 211--218

Balancing lifetime and classification accuracy of wireless sensor networks
Kush R Varshney, Peter M van de Ven
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing, pp. 31--38, 2013

A Big Data Approach to Computational Creativity
Lav R Varshney, Florian Pinel, Kush R Varshney, Debarun Bhattacharjya, Angela Schoergendorfer, Yi-Min Chee
arXiv preprint arXiv:1311.1213, 2013

Quantile Regression for Workforce Analytics.
Karthikeyan N. Ramamurthy, Kush R. Varshney and Moninder Singh
IEEE Global Conference on Signal and Information Processing, 2013

Dose-Response Signal Estimation and Optimization for Salesforce Management
Kush R. Varshney and Moninder Singh
IEEE International Conference on Service Operations and Logistics, and Informatics, 2013

Interactive Visual Communication of Predictive Workforce Analytics
Shubir Kapoor, Steven L. Rohall, Aleksandra Mojsilovic, Donna Gresh, Moninder Singh and Deepika Kakrania
IEEE VIS, 2013

Sparse filter design under a quadratic constraint: Low-complexity algorithms
Dennis Wei, Charles K. Sestok, Alan V. Oppenheim
IEEE Transactions on Signal Processing 61(4), 857-870, 2013

A branch-and-bound algorithm for quadratically-constrained sparse filter design
Dennis Wei, Alan V. Oppenheim
IEEE Transactions on Signal Processing 61(4), 1006-1018, 2013

Distributed learning of Gaussian graphical models via marginal likelihoods
Zhaoshi Meng, Dennis Wei, Ami Wiesel, Alfred O. Hero
16th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 39-47, 2013

Adaptive spectrum sensing and estimation
Dennis Wei, Alfred O. Hero
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5720-5724, 2013

Ensemble estimators for multivariate entropy estimation
Kumar Sricharan, Dennis Wei, Alfred O. Hero
IEEE Transactions on Information Theory 59(7), 4374-4388, 2013

A physics-based pattern dictionary for EBSD image segmentation
Se Un Park, Dennis Wei, Marc De Graef, Megna Shah, Jeff Simmons, Alfred O. Hero
Microscopy & Microanalysis Meeting (M&M), 2013

Global criteria for sparse penalized partial least squares
Tzu-Yu Liu, Laura Trinchera, Arthur Tenenhaus, Dennis Wei, Alfred O. Hero
59th ISI World Statistics Congress (WSC), 2013

EBSD image segmentation using a physics-based forward model
Se Un Park, Dennis Wei, Marc De Graef, Megna Shah, Jeff Simmons, Alfred O. Hero
IEEE International Conference on Image Processing (ICIP), pp. 3780-3784, 2013

Multistage adaptive estimation of sparse signals
Dennis Wei, Alfred O. Hero
IEEE Journal of Selected Topics in Signal Processing 7(5), 783-796, 2013

Spatio-temporal analysis of Gaussian WSS processes via complex correlation and partial correlation screening
Hamed Firouzi, Dennis Wei, Alfred O. Hero
IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 455-458, 2013

A performance guarantee for adaptive estimation of sparse signals
Dennis Wei, Alfred O. Hero
IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 189-192, 2013

Adaptive search for sparse dynamic targets
Gregory Newstadt, Dennis Wei, Alfred O. Hero
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 240-243, 2013

Marginal likelihoods for distributed estimation of graphical model parameters
Zhaoshi Meng, Dennis Wei, Ami Wiesel, Alfred O. Hero
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 73-76, 2013

Learning Hash Codes with Listwise Supervision
J Wang, W Liu, AX Sun, YG Jiang
IEEE International Conference on Computer Vision, 2013

Single Network Relational Transductive Learning
Amit Dhurandhar and Jun Wang
Journal of Artificial Intelligence Research48, 813-839, 2013

Exploring patient risk groups with incomplete knowledge
Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu
The IEEE International Conference on Data Mining series, pp. 1223-1228, 2013


Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data
Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Meyers
Proceedings of the International Joint Conference on Artificial Intelligence Workshops, pp. 3--12, 2013



Predicting and recommending skills in the social enterprise
Kush R Varshney, Jun Wang, Aleksandra Mojsilovic, Dongping Fang, John H Bauer
Proc. Int. AAAI Conf. Weblogs Soc. Med, 2013

Dose-response signal estimation and optimization for salesforce management
Kush R Varshney, Moninder Singh
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on, pp. 328--333

Expertise assessment with multi-cue semantic information
Jun Wang, Kush R Varshney, Aleksandra Mojsilovic, Dongping Fang, John H Bauer
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on, pp. 534--539

Cognition as a Part of Computational Creativity
Lav R. Varshney, Florian Pinel, Kush R. Varshney, Angela Sch\"{o}rgendorfer, Yi-Min Chee
Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), pp. 36--43, 2013

Near-Optimal Column-Based Matrix Reconstruction
C. Boutsidis, P. Drineas, and M. Magdon-Ismail
SIAM Journal on Computing, special issue of FOCS 2011, 2013

Random Projections for Support Vector Machines
S. Paul, C. Boutsidis, M. Magdon-Ismail, P. Drineas
International Conference on Artificial Intelligence and Statistics (AISTATS), 2013

Practical Ensemble Classification Error Bounds for Different Operating Points
K.R. Varshney, R.J. Prenger, T.L. Marlatt, B.Y. Chen, W.G. Hanley
IEEE Transactions on Knowledge and Data Engineering, 2013

Near-optimal Coresets For Least-Squares Regression
C. Boutsidis, P. Drineas, M. Magdon-Ismail
IEEE Transactions on Information Theory, 59(10), 6880 - 6892, 2013

Efficient Dimensionality Reduction for Canonical Correlation Analysis
H. Avron, C. Boutsidis, S. Toledo, and A. Zouzias
International Conference on Machine Learning (ICML), 2013

Improved matrix algorithms via the Subsampled Randomized Hadamard Transform
C. Boutsidis, A. Gittens
SIAM Journal on Matrix Analysis and Applications, 34(3), 1301-1340, 2013

Faster Subset Selection for Matrices and Applications
H. Avron, C. Boutsidis
SIAM Journal on Matrix Analysis and Applications, 34(4), 1464-1499, 2013

Deterministic Feature Selection for K-means Clustering
C. Boutsidis, M. Magdon-Ismail
IEEE Transactions on Information Theory, 59(9), 6099 - 6110, 2013

Randomized Dimensionality Reduction for K-means Clustering
C. Boutsidis, A. Zouzias, M.W. Mahoney, and P. Drineas
arXiv preprint arXiv:1110.2897, 2013


2012

Globally sparse PLS regression
Tzu-Yu Liu, Laura Trinchera, Arthur Tenenhaus, Dennis Wei, Alfred O. Hero
New Perspectives in Partial Least Squares and Related Methods, Springer Proceedings in Mathematics & Statistics, pp. 117-127, 2012

Multistage adaptive estimation of sparse signals
Dennis Wei, Alfred O. Hero
IEEE Workshop on Statistical Signal Processing (SSP), pp. 153-156, 2012

A new criterion for sparse PLS regression
Tzu-Yu Liu, Laura Trinchera, Arthur Tenenhaus, Dennis Wei, Alfred O. Hero
20th International Conference on Computational Statistics (COMPSTAT), 2012



Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem
B. Cung, T. Jin, J. Ramirez, A. Thompson, C. Boutsidis, and D. Needell
SIAM Undergraduate Research Online (SIURO), 2012

Does Selection Bias Blind Performance Diagnostics of Business Decision Models? A Case Study in Salesforce Optimization
Jun Wang, Moninder Singh, and Kush R. Varshney
IEEE International Conference on Service Operations and Logistics, and Informatics, pp. 416-421, 2012

Interactive Visual Salesforce Analytics
Kush R. Varshney, Jamie C. Rasmussen, Aleksandra Mojsilovic, Moninder Singh, and Joan M. DiMicco
International Conference on Information Systems, 2012

An Analytics Approach for Proactively Combating Voluntary Attrition of Employees
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Mark S. Squillante, Yingdong Lu, Alisia Gill, Patricia Faur, and Raphael Ezry
IEEE International Conference on Data Mining (ICDM) - Workshop on Data Mining for Service, pp. 317--323, 2012

Sales-Force Performance Analytics and Optimization
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, and Kush R. Varshney
IBM Journal of Research and Development 56(6), 8--1, IBM, 2012

Supervised Hashing with Kernels
W. Liu and J. Wang and R. Ji and Y.-G. Jiang and S.-F. Chang
IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2012

Compact Hyperplane Hashing with Bilinear Functions
W. Liu and J. Wang and Y. Mu and S. Kumar and S.-F. Chang
The 29th International Conference on Machine Learning, 2012

Fast Graph Construction Using Auction Algorithm
J. Wang and Y. Xiang
The Conference on Uncertainty in Artificial Intelligence, 2012

Scalable Graph-Based Semi-Supervised Learning,
W. Liu, and J. Wang and S.-F. Chang
Proceedings of the IEEE, 2012

Fast Semantic Diffusion for Large Scale Context-Based Image and Video Annotation
Y. G. Jiang and Qi Dai and J. Wang and C.-W. Ngo and X. Xue and S.-F. Chang
IEEE Trans. on Image Processing, 2012

Query-Adaptive Image Search with Hash Codes
Y.-G. Jiang and J. Wang and X. Xue and Shih-Fu Chang
IEEE Transactions on Multimedia, 2012

Cascade Model with Dirichlet Process for Analyzing Multiple Dyadic Matrices
H. Yang and J. Wang and A. Mojsilovic
Journal of Applied Statistics, 2012

Semi-Supervised Hashing for Large Scale Search
J. Wang and S. Kumar and S.-F. Chang
IEEE Trans. on Pattern Analysis and Machine Intelligence, 2012
Abstract

Legislative Prediction via Random Walks over a Heterogeneous Graph
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
SIAM International Conference on Data Mining, pp. 1095-1106, 2012

Decision Trees for Heterogeneous Dose-Response Signal Analysis
Kush R. Varshney, Moninder Singh, Jun Wang
IEEE Statistical Signal Processing Workshop, 2012

Dynamic Matrix Factorization: A State Space Approach
John Z. Sun, Kush R. Varshney, Karthik Subbian
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012




2011

Modeling and Simulation of Building Energy Performance for Portfolios of Public Buildings
Y. M. Lee, F. Liu, L. An, H. Jiang, C. Reddy, R. Horesh, P. Nevill, E. Meliksetian, P. Chowdhary, N. Mills, Y. T. Chae, J. Snowdon, J. Kalagnanam, J. Emberson, A. Paskevicous, E. Jeyaseelan, R. Forest, C. Cuthbert, T. Cupido, M. Bobker, and J. Belfast
Proceedings of the 2011 Winter Simulation Conference, pp. 915--927, S. Jain, R. R. Creasey, J. Himmelspach, K. P. White, and M. Fu, editors

Estimation of thermal parameters of buildings through inverse modeling and clustering
L An, R Horesh, Y Chae, YM Lee
Technical Report, Working paper. IBM TJ Watson Research Center, 2011


Classification of IT service tickets for defect prevention
KR Varshney, D Fang, AR Heching, A Mojsilovic, M Singh
INFORMS Annu. Meeting, Charlotte, NC, 2011

Saturation-robust SAR image formation
Dennis Wei, Petros T. Boufounos
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1385-1388, 2011

System and Method for Annotating and Search Media
S.-F. Chang and J. Wang and T. Jebara
US Patent APP. 13/165,553

Closing the loop in Cortically- Coupled Computer Vision: a BCI for searching image databases
E. Pohlmeyer, J. Wang, D. C. Jangraw, B. Lou, S.-F. Chang, and P. Sajda
Journal of Neural Engineering 8(3), 2011

Lost in Binarization: Query-Adaptive Ranking for Similar Image Search with Compact Codes
Y.-G. Jiang and J. Wang and Shih-Fu Chang
Proceedings of ACM International Conference on Multimedia Retrieval , 2011

Hashing with Graphs
W. Liu and J. Wang and S. Kumar and S.-F. Chang
The 28th International Conference on Machine Learning, 2011

Topics in Matrix Sampling Algorithms
C. Boutsidis
Ph.D Dissertation, Rensselaer Polytechnic Institute , 2011

Atomic-level characterization of the ensemble of the Ab(1-42) monomer in water using unbiased molecular dynamics simulations and spectral algorithms
N. Sgourakis, M. Serrano, C. Boutsidis, P. Drineas, Z. Du, C. Wang, and A. Garcia.
Journal of Molecular Biology, 405(2):570-83, 2011.

Sparse Features for PCA-like Linear Regression
C. Boutsidis, P. Drineas, and M. Magdon-Ismail
Annual Conference on Neural Information Processing Systems (NIPS), 2011

Near-Optimal Column-Based Matrix Reconstruction
C. Boutsidis, P. Drineas, and M. Magdon-Ismail
Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2011


OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains
H Cao, J Hu, C Jiang, T Kumar, T H Li, Y Liu, Y Lu, S Mahatma, A Mojsilovic, M Sharma, others
Interfaces 41(5), 414--435, INFORMS, 2011

Categorical Decision Making by People, Committees, and Crowds
Lav R. Varshney, Joong Bum Rhim, Kush R. Varshney, Vivek K. Goyal
Information Theory and its Applications Workshop, 2011

Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations
Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic
IEEE International Workshop on Data Mining for Service, 2011


Spatially-Correlated Sensor Discriminant Analysis
Kush R. Varshney
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2011

A Risk Bound for Ensemble Classification with a Reject Option
Kush R. Varshney
IEEE International Workshop on Statistical Signal Processing, 2011

Bayes Risk Error is a Bregman Divergence
Kush R. Varshney
IEEE Transactions on Signal Processing, 2011


Multilevel Minimax Hypothesis Testing
Kush R. Varshney, Lav R. Varshney
IEEE International Workshop on Statistical Signal Processing, 2011

MCMC inference of the shape and variability of time-response signals
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2011

System and method for automated part-number mapping
G Chidiac, J R Kalagnanam, M Singh, S Verma, F D White, M D Patek, Y W Wong
US Patent 8,001,018

The growth and performance diagnostics initiative: A multidimensional framework for sales performance analysis and management
M Singh, D Bhattacharjya, L Deleris, D Katz-Rogozhnikov, M Squillante, B Ray, A Mojsilovic, C Barrera, D Kakrania, J Richard, others
Serv. Sci 3(1), 82--98, 2011


2010

Workforce Analytics for the Enterprise: An IBM Approach. Book chapter in Service Science Handbook, Maglio, PP, Kieliszewski, CA, Sporer JC
D Connors, A Mojsilovic
2010 - Springer, Springer

Linear programming algorithms for sparse filter design
Thomas Baran, Dennis Wei, Alan V. Oppenheim
IEEE Transactions on Signal Processing 58(3), 1605-1617, 2010

Sparsity maximization under a quadratic constraint with applications in filter design
Dennis Wei and Alan V. Oppenheim
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3686-3689, 2010

Video stabilization and rolling shutter distortion reduction
Wei Hong, Dennis Wei, Aziz Umit Batur
IEEE International Conference on Image Processing (ICIP), pp. 3501-3504, 2010

Rapid Image Annotation via Brain State Decoding and Visual Pattern Mining
S.-F. Chang, J. Wang, P. Sajda, E. Pohlmeyer, B. Hanna
International Patent APP.PCT/US2010/023494

In a Blink of an Eye and a Switch of a transistor: Cortically Coupled Computer Vision
P. Sajd, E. Pohlmeyer, J. Wang, L. C. Parra, C. Christoforou, J. Dmochowski, B. Hanna, C. Bahlmann, M. K. Singh, S.-F. Chang
Proceedings of the IEEE 98(3), 462-478, 2010

Semi-supervised Hashing for Scalable Image Retrieval
J. Wang and S. Kumar and S.-F. Chang
IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2010

Sequential Projection Learning for Hashing with Compact Codes,
J. Wang, S. Kumar and S.-F. Chang
The 27th International Conference on Machine Learning, 2010

Cortically-Coupled Computer Vision
P. Sajda and E. Pohlmeyer and J. Wang and B. Hanna and L. C. Parra and S.-F. Chang
Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction, Elsevier, 2010
Abstract


Random Projections for K-means Clustering
C. Boutsidis, A. Zouzias, and P. Drineas
Annual Conference on Neural Information Processing Systems (NIPS), 2010

Performance Management of IT Services Delivery
J Hu, Y Lu, A Mojsilovic, M Sharma, M S Squillante
Performance Evaluation Review 37(4), 50--57, ACM, 2010

Workforce analytics for the services economy
Aleksandra Mojsilovi\'c, Daniel Connors
Handbook of service science, pp. 437--460, Springer, 2010

One-class matrix completion with low-density factorizations
V Sindhwani, S S Bucak, J Hu, A Mojsilovic
Data Mining (ICDM), 2010 IEEE 10th International Conference on, pp. 1055--1060

A Framework for Sales Force Productivity Profile Estimation
Mayank Sharma, Aleksandra Mojsilovic, Moninder Singh, Kush R. Varshney
INFORMS Annual Meeting, 2010

Method and knowledge structures for reasoning about concepts, relations, and rules
L Gong, L Morgenstern, E T Mueller, D Riecken, M Singh, US Patent 7, 844, 562

Method, system, and apparatus for dynamic data-driven privacy policy protection and data sharing
S S Duri, J G Elliott, X Liu, P A Moskowitz, G V Salmi, M Singh, J M Tang
US Patent 7,818,588

Class-Specific Error Bounds for Ensemble Classifiers
Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 843--852, 2010


Classification Using Geometric Level Sets
Kush R. Varshney, Alan S. Willsky
Journal of Machine Learning Research 11(Feb), 491-516, JMLR. org, 2010


2009

Non-convex optimization for the design of sparse FIR filters
Dennis Wei
IEEE Workshop on Statistical Signal Processing (SSP), pp. 117-120, 2009

Brain State Decoding for Rapid Image Retrieval
J. Wang, E. Pohlmeyer, B. Hanna, Y.-G. Jiang, P. Sajda, S.-F. Chang
ACM Multimedia, 2009

Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Y.-G. Jiang, J. Wang, S.-F. Chang, C.-W. Ngo
The 12th IEEE International Conference on Computer Vision, 2009

Label Diagnosis through Self Tuning for Web Image Search
J. Wang, Y.-G. Jiang, S.-F. Chang
IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2009

Graph Construction and b-Matching for Semi-Supervised Learning
T. Jebara, J. Wang, and S.-F. Chang
The 26th International Conference on Machine Learning, 2009

An Improved Approximation Algorithm for the Column Subset Selection Problem
C. Boutsidis, M.W. Mahoney, and P. Drineas
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2009

Unsupervised Feature Selection for the K-means Clustering Problem
C. Boutsidis, M.W. Mahoney, and P. Drineas
Annual Conference on Neural Information Processing Systems (NIPS), 2009

Random Projections for the Nonnegative Least Squares Problem
C. Boutsidis, P. Drineas
Linear Algebra and its Applications, Volume 431, Issues 5-7, 1 August 2009, pages 760-771.


Leveraging social networks for corporate staffing and expert recommendation
V Chenthamarakshan, K Dey, J Hu, A Mojsilovic, W Riddle, V Sindhwani
IBM Journal of Research and Development 53(6), 915--924, IBM Corp., 2009

A framework for combined bayesian analysis and optimization for services delivery
A Shirazi, J Hu, M Singh, M Squillante, A Mojsilovic
Service Operations, Logistics and Informatics, 2009, pp. 382--387

IT Advances for Industrial Procurement: Automating Data Cleansing for Enterprise Spend Aggregation
M Singh, J R Kalagnanam
Business Computing3, 173, Emerald Group Publishing, 2009

Postarthroplasty Examination Using X-ray Images
Kush R. Varshney, Nikos Paragios, Jean-Francois Deux, Alain Kulski, Remy Raymond, Phillipe Hernigou, Alain Rahmouni
IEEE Transactions on Medical Imaging, 2009

Winning the KDD cup orange challenge with ensemble selection
A Niculescu-Mizil, C Perlich, G Swirszcz, V Sindhwani, Y Liu, P Melville, D Wang, J Xiao, J Hu, M Singh, others
KDD Cup and Workshop in conjunction with KDD, pp. 23--34, Citeseer, 2009

System for automated part-number mapping
G Chidiac, J R Kalagnanam, M Singh, S Verma, F D White, M D Patek, Y W Wong
US Patent 7,512,553

System, method, and business methods for enforcing privacy preferences on personal-data exchanges across a network
K A Bohrer, C A Chess, R L Hoch, J Karat, D Kesdogan, X Liu, E G Schonberg, M Singh
US Patent 7,478,157

Learning Dimensionality-Reduced Classifiers for Information Fusion
Kush R. Varshney, Alan S. Willsky
International Conference on Information Fusion, pp. 1881--1888, 2009


2008

nfluence of anisotropic modelling on the forward and linear solutions for Electrical Impedance Tomography using a realistic finite element model of the head
Abascal, J.F.P.J., Arridge, S.R., Atkinson, D., Horesh, R., Fabrizi, L., De Lucia, M., Horesh, L., Bayford, R.H., and Holder, D.S.
NeuroImage43, 258-268, 2008

Active Microscopic Cellular Image Annotation by Superposable Graph Transduction with Imbalanced Labels
J. Wang, S.-F. Chang, X. Zhou, S. T. C. Wong
IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2008

Graph Transduction via Alternating Minimization
J. Wang, T. Jebara, and S.-F. Chang
The 25th International Conference on Machine Learning, 2008

Clustered subset selection and its applications on it service metrics
C. Boutsidis, J. Sun, and N. Anerousis
ACM Conference on Information and Knowledge Management (CIKM), 2008

SVD-based initialization: A head start on nonnegative matrix factorization
C. Boutsidis, E. Gallopoulos
Pattern Recognition, Volume 41, Issue 4, April 2008, pages 1350-1362

Unsupervised Feature Selection for Principal Components Analysis
C. Boutsidis, M.W. Mahoney, and P. Drineas
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2008


Regularized co-clustering with dual supervision
V Sindhwani, J Hu, A Mojsilovic
Advances in Neural Information Processing Systems21, 2008

Method, system, and apparatus for dynamic data-driven privacy policy protection and data sharing
S S Duri, J G Elliott, X Liu, P A Moskowitz, G V Salmi, M Singh, J Tang, US Patent 7, 401, 233

Secure system and method for enforcement of privacy policy and protection of conidentiality
S S Duri, M O Gruteser, X Liu, P A Moskowitz, R Perez, E G Schonberg, M Singh, J M Tang, C P Tresser, US Patent 7, 353, 532

Secure system and method for enforcement of privacy policy and protection of confidentiality
S S Duri, M O Gruteser, X Liu, P A Moskowitz, R Perez, E G Schonberg, M Singh, J M Tang, C P Tresser
US Patent 7,401,352


K-means clustering of proportional data using L1 distance
H Kashima, J Hu, B Ray, M Singh
Pattern Recognition, 2008, pp. 1--4


Method and knowledge structures for reasoning about concepts, relations, and rules
L Gong, L Morgenstern, E T Mueller, D Riecken, M Singh
US Patent 7,447,667

Sparse Representation in Structured Dictionaries with Application to Synthetic Aperture Radar
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
IEEE Transactions on Signal Processing 56(8), 3548--3561, IEEE, 2008

Minimum Mean Bayes Risk Error Quantization of Prior Probabilities
Kush R. Varshney, Lav R. Varshney
IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3445--3448, 2008

Quantization of Prior Probabilities for Hypothesis Testing
Kush R. Varshney, Lav R. Varshney
IEEE Transactions on Signal Processing 56(10 ), 4553--4562, IEEE, 2008

Supervised Learning of Classifiers via Level Set Segmentation
Kush R. Varshney, Alan S. Willsky
IEEE Workshop on Machine Learning for Signal Processing, pp. 115--120, 2008


2007

Sampling based on local bandwidth
Dennis Wei, Alan V. Oppenheim
Asilomar Conference on Signals, Systems, and Computers, pp. 1103-1107, 2007

Perceptual indexing of multivariate time series
A Mojsilovic
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007

A logistic regression framework for information technology outsourcing lifecycle management
A Mojsilovic, B Ray, R Lawrence, S Takriti
Computers & Operations Research 34(12), 3609--3627, Elsevier, 2007


Statistical methods for automated generation of service engagement staffing plans
J Hu, BK Ray, M Singh
IBM journal of research and development 51(3.4), 281--293, IBM, 2007

A Sparse Signal Representation-Based Approach to Image Formation and Anisotropy Determination in Wide-Angle Radar
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
IEEE Signal Processing and Communications Applications Conference, pp. 1--4, 2007

Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays
Kush R. Varshney, Nikos Paragios, Alain Kulski, Remy Raymond, Phillipe Hernigou, Alain Rahmouni
IEEE International Symposium on Biomedical Imaging, pp. 1148--1151, 2007


2006

Offering Pattern Mining Using High Yield Partition Trees
J Hu, A Mojsilovic
Acoustics, Speech and Signal Processing, 2006, pp. V--V

Using Data Mining in Procurement Business Transformation Outsourcing
M Singh, J R Kalagnanam
Workshop on Data Mining for Business Applications, 2006


Wide-Angle SAR Image Formation with Migratory Scattering Centers and Regularization in Hough Space
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
Workshop on Adaptive Sensor Array Processing, pp. 2006

Joint Image Formation and Anisotropy Characterization in Wide-Angle SAR
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
SPIE Defense and Security Symposium, Algorithms for Synthetic Aperture Radar Imagery XIII, pp. 62370D, 2006


2005

Automatic Fingerprint Matching Systems
Kush R. Varshney
Glimpses of Systems Theory and Novel Applications: Felcitation Volume in Honour of Professor Raj Kumar Varshney, pp. 149-164, Navin Press, 2005


A computational model for color naming and describing color composition of images
A Mojsilovic
Image Processing, IEEE Transactions on 14(5), 690--699, IEEE, 2005

Adaptive perceptual color-texture image segmentation
J Chen, T N Pappas, A Mojsilovic, B E Rogowitz
Image Processing, IEEE Transactions on 14(10), 1524--1536, IEEE, 2005

Automated cleansing for spend analytics
M Singh, J R Kalagnanam, S Verma, A J Shah, S K Chalasani
Proceedings of the 14th ACM international conference on Information and knowledge management, pp. 437--445, 2005


2004

Perceptually-tuned multiscale color-texture segmentation
J Chen, T N Pappas, A Mojsilovic, B E Rogowitz
Image Processing, 2004, pp. 921--924

Semantic metric for image library exploration
A Mojsilovic, B E Rogowitz
Multimedia, IEEE Transactions on 6(6), 828--838, IEEE, 2004

Semantic-friendly indexing and quering of images based on the extraction of the objective semantic cues
A Mojsilovi{'c}, J Gomes, B Rogowitz
International Journal of Computer Vision 56(1), 79--107, Springer, 2004

Enhanced Semantic Networks: Hybrid Knowledge Structures for Reasoning
L Morgenstern, E Mueller, D Riecken, M Singh, L Gong
IBM Research Report, 2004

A system for automated mapping of bill-of-materials part numbers
J Kalagnanam, M Singh, S Verma, M Patek, Y W Wong
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 805--810, 2004

Data protection and data sharing in telematics
S Duri, J Elliott, M Gruteser, X Liu, P Moskowitz, R Perez, M Singh, J M Tang
Mobile Networks and Applications 9(6), 693--701, Springer, 2004


2003

Image segmentation by spatially adaptive color and texture features
J Chen, T N Pappas, A Mojsilovic, B E Rogowitz
Image Processing, 2003, pp. I--1005

Object oriented XML query by example
K Bohrer, X Liu, S McLaughlin, E Schonberg, M Singh
Conceptual Modeling for Novel Application Domains, 323--329, Springer, 2003

International Workshop on XSDM at ER 2003 (XSDM 2003)-Object Oriented XML Query by Example
K Bohrer, X Liu, S McLaughlin, E Schonberg, M Singh
Lecture Notes in Computer Science2814, 323--329, Berlin: Springer-Verlag, 1973-, 2003


2002


Analysis, reconstruction and visualization of malignant brain tumors: a case study in data synthesis
A Mojsilovic, B Rogowitz, J Gomes, TS Deisboeck
Analyt Quant Cytol ..., 2002 - research.ibm.com


A variational approach to recovering a manifold from sample points
J Gomes, A Mojsilovic
Computer Vision—ECCV 2002, 3--17, Springer


Isee: Perceptual features for image library navigation
A Mojsilovic, J Gomes, B Rogowitz
Proceedings of the SPIE, Human Vision and Electronic Imaging, pp. 266--277, 2002


Extraction of perceptually important colors and similarity measurement for image matching, retrieval and analysis
A Mojsilovic, H Hu, E Soljanin
Image Processing, IEEE Transactions on 11(11), 1238--1248, IEEE, 2002

Adaptive image segmentation based on color and texture
J Chen, T N Pappas, A Mojsilovic, B Rogowitz
Image Processing, pp. 777--780, 2002

An architecture of diversity for commonsense reasoning
J McCarthy, M Minsky, A Sloman, L Gong, T Lau, L Morgenstern, E T Mueller, D Riecken, M Singh, P Singh
IBM Systems Journal 41(3), 530--539, I, 2002

Framework for Security and Privacy in
S Duri, M Gruteser, X Liu, P Moskowitz, R Perez, M Singh, J M Tang
WMC'02: proceedings of the Second ACM International Workshop on Mobile Commerce: September 28, 2002, Atlanta, Georgia, USA: in conjunction with ACM Sigmobile Eighth International Conference on Mobile Computing and Networking, pp. 25


2001


Color quantization and processing by Fibonacci lattices
A Mojsilovic, E Soljanin
Image Processing, IEEE Transactions on 10(11), 1712--1725, IEEE, 2001

Capturing image semantics with low-level descriptors
A Mojsilovic, B Rogowitz
Image Processing, 2001, pp. 18--21


2000

Matching and retrieval based on the vocabulary and grammar of color patterns
A Mojsilovic, J Kovacevic, J Hu, R J Safranek, S K Ganapathy
Image Processing, IEEE Transactions on, IEEE, 2000

A method for color content matching of images
A Mojsilovic, J Hu
Multimedia and Expo, 2000, pp. 649--652


Optimal color composition matching of images
J Hu, A Mojsilovic
Pattern Recognition, 2000, pp. 47--50

The vocabulary and grammar of color patterns
A Mojsilovic, J Kovacevic, D Kall, R J Safranek, S Kicha Ganapathy
Image Processing, IEEE Transactions on 9(3), 417--431, IEEE, 2000

On the selection of an optimal wavelet basis for texture characterization
A Mojsilovic, M V Popovic, D M Rackov
Image Processing, IEEE Transactions on 9(12), 2043--2050, IEEE, 2000

Matching and retrieval based on the vocabulary and grammar of color patterns
A Mojsilovic, J Kovacevic, J Hu, R J Safranek, S K Ganapathy
Multimedia Computing and Systems, 1999, pp. 38--54, IEEE, 2000

Algebra jam: supporting teamwork and managing roles in a collaborative learning environment
M K Singley, M Singh, P Fairweather, R Farrell, S Swerling
Proceedings of the 2000 ACM conference on Computer supported cooperative work, pp. 145--154, ACM


1999


Retrieval of color patterns based on perceptual dimensions of texture and human similiarity rules
A Mojsilovic, J Kovacevic, J Hu, R J Safranek, S K Ganapathy
Proceedings of SPIE, pp. 441, 1999



1998

Characterization of visually similar diffuse diseases from B-scan liver images using nonseparable wavelet transform
A Mojsilovic, M Popovic, S Markovic, M Krstic
Medical Imaging, IEEE Transactions on 17(4), 541--549, IEEE, 1998

Myocardial tissue characterization after acute myocardial infarction with wavelet image decomposition: a novel approach for the detection of myocardial viability in the early postinfarction period
A N Neskovic, A Mojsilovic, T Jovanovic, J Vasiljevic, M Popovic, J Marinkovic, M Bojic, A D Popovic
Circulation 98(7), 634--641, Am Heart Assoc, 1998



1997

Automatic segmentation of intravascular ultrasound images: a texture-based approach
A Mojsilovi{'c}, M Popovi{'c}, N Amodaj, R Babi{'c}, M Ostoji{'c}
Annals of biomedical engineering 25(6), 1059--1071, Springer, 1997

Wavelet image extension for analysis and classification of infarcted myocardial tissue
A Mojsilovic, M V Popovic, A N Neskovic, A D Popovic
Biomedical Engineering, IEEE Transactions on 44(9), 856--866, IEEE, 1997

Learning Bayesian networks from incomplete data
M Singh
Proceedings of the National conference on Artificial Intelligence, pp. 534--539, 1997


1996


Induction of selective Bayesian networks from data
M Singh
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 1371--1371, 1996

Data mining and model simplicity: A case study in diagnosis
G M Provan, M Singh
Second International Conference on Knowledge Discovery and Data Mining (KDD96), Portland, Oregon, 1996

Path consistency revisited
M SINGH
tai, pp. 127--141, 1996

Learning Bayesian networks using feature selection
G M Provan, M Singh
LECTURE NOTES IN STATISTICS-NEW YORK-SPRINGER VERLAG-, 291--300, SPRINGER VERLAG KG, 1996


E cient learning of selective Bayesian network classifiers
M Singh, G M Provan
Proceedings of the Thirteenth International Conference on Machine Learning, 1996


1995

950--92 Prediction of Successful Reperfusion After Acute Myocardial Infarction Using Computer Program for Myocardial Tissue Characterisation
Aleksandra Mojsilovi\'c, Aleksandar D Popovi\'c, Aleksandar N Ne\v{s}kovi\'c, Nenad Amodaj, Miodrag Popovi\'c
Journal of the American College of Cardiology 25(2), 179A--180A, Elsevier, 1995


A comparison of induction algorithms for selective and non-selective Bayesian classifiers
M Singh, G M Provan
Proceedings of the Twelfth International Conference on Machine Learning, pp. 497--505, 1995

Construction of bayesian belief networks from data: A brief survey and an efficient algorithm
M Singh, M Valtorta
International Journal of Approximate Reasoning 12(2), 111--131, Elsevier, 1995


1993

An algorithm for the construction of Bayesian network structures from data
M Singh, M Valtorta
Proceedings of the Ninth conference on Uncertainty in Artificial Intelligence, pp. 259--265, 1993


Year Unknown

Thomas S.,“Analysis, Reconstruction and Visualization of Malignant Brain Tumors: A Case Study in Data Synthesis”
Aleksandra Mojsilovic, Bernice Rogowitz, Jose Gomes
IBM TJ Watson IResearch Center, 0

Digitalna obrada signala: računske vežbe i simulacije u MATLAB-u

1996 - Nauka, 0

Perceptual color and spatial texture features for segmentation

Society of Photo- ..., 2003 - ece.northwestern.edu

Color image semantics for digital libraries

Proceedings of SPIE, 2003 - link.aip.org

Cath-Lab Assistant: Integrated Image Analysis and Relational Database Program

Journal of the ..., 2004 - Elsevier Science

Retrieval of color patterns based on perceptual dimensions of texture and human similiarity rules [3644-46]

..., 1999 - SPIE INTERNATIONAL SOCIETY ..., 0

Quantization of color spaces by Fibonacci lattices

Information Theory, 2001. ..., 2001 - ieeexplore.ieee.org

Perceptual Tuning of Low-level Color and Texture
Junqing Chen, Thrasyvoulos N Pappas, Aleksandra Mojsilovic, Bernice E Rogowitz
J Chen, TN Pappas, A Mojsilovic, BE Rogowitz, 0


Symbolic approach to 2D biorthogonal diamond-shaped filter design

... , 1997. Proceedings., 1997 ..., 1997 - ieeexplore.ieee.org, 0


A method for color naming and describing the color composition of images

IEEE Trans. Image Processing, 0

Wavelet Domain Features for Texture Description, Classification and Replicability Analysis, Wavelets in Signal and Image Analysis: From Theory to ...

2001 - Kluwer Academic Publishers, ...

Toward vocabulary and grammar of color patterns

IEEE Trans. Image ..., 1998, 0

A family of non-negative matrix factorizations for one-class collaborative filtering

RecSys: RIA, 2009

Perceptual tuning of low-level color and texture features for image segmentation

Signals, Systems and ..., 2004 - ieeexplore.ieee.org

Quantization of color spaces and processing of color quantized images by Fibonacci lattices

IEEE Trans, on Image Processing, 0


Perceptual color and texture features for segmentation

Human Vision and ..., 2003 - Santa Clara, CA

Texture analysis and classification with the nonseparable wavelet transform

Image Processing, 1997. ..., 1997 - ieeexplore.ieee.org, 0


Psychophysical approach to modeling image semantics

Proceedings of SPIE, 2001 - link.aip.org





Members

Jing Fu
Raya Horesh
Dmitriy A. Katz-Rogozhnikov
Joana Maria
Aleksandra Mojsilovic
Karthikeyan Natesan Ramamurthy
Emily Ray
Prasanna Sattigeri
Moninder Singh
Kush R. Varshney
Bhanukiran Vinzamuri
Dennis Wei


Alumni

John H. Bauer
Christos Boutsidis
Dongping Fang
Vijay S. Iyengar
Vikas Sindhwani
Jun Wang
Jinfeng Yi