{"id":135,"date":"2011-08-04T15:18:21","date_gmt":"2011-08-04T20:18:21","guid":{"rendered":"http:\/\/blogs.bu.edu\/srv\/?page_id=135"},"modified":"2014-04-03T11:16:45","modified_gmt":"2014-04-03T15:16:45","slug":"pubs-year","status":"publish","type":"page","link":"https:\/\/blogs.bu.edu\/srv\/?page_id=135","title":{"rendered":"Publications"},"content":{"rendered":"

Citations on Google Scholar<\/a><\/p>\n

2014 –<\/h1>\n

Information-Theoretic Bounds for Adaptive Sparse Recovery<\/a>, ISIT 2014<\/p>\n

Information-Theoretic Characterization of Sparse Recovery,\u00a0<\/b>AISTATS 2014<\/p>\n

An LP for Sequential Learning Under Budgets<\/a>, AISTATS 2014<\/p>\n

Efficient Distributed Topic Modeling with Provable Guarantees<\/a>, AISTATS 2014<\/p>\n

Connected Sub-graph Detection, AISTATS 2014<\/p>\n

Sensing-aware kernel SVM, ICASSP 2014<\/p>\n

Fast Margin-based Cost-Sensitive Classification, ICASSP 2014<\/p>\n

Spectral Clustering with Imbalanced Data, ICASSP 2014<\/p>\n

Anomalous Cluster Detection, ICASSP 2014<\/p>\n

Sparse Signal Recovery under Poisson Statistics for Online Marketing Applications<\/a>, ICASSP 2014<\/p>\n

 <\/p>\n

2013<\/h1>\n

Local Linear Learning Machines<\/a> (L3M), (Oral) ACML 2013<\/p>\n

An Impossibility Result for High Dimensional Supervised Learning<\/a>, (arxiv version), ITW 2013<\/p>\n

Noisy Channel Coding and Sparse Recovery<\/a>, (arxiv preprint)<\/p>\n

Near-Optimal Stochastic Threshold Group Testing<\/a>, (arxiv preprint), ITW 2013<\/p>\n

Topic Discovery through Data Dependent and Random Projections<\/a>, ICML 2013 (Oral)<\/p>\n

Multistage Learning under Budget Constraints<\/a>, AISTATS 2013 (Oral)<\/p>\n

Compressive sensing bounds through a unifying framework for sparse models, ICASSP 2013<\/p>\n

A New One-Class SVM for Anomaly Detection, ICASSP 2013<\/p>\n

A new geometric approach to latent topic modeling and discovery, ICASSP 2013<\/p>\n

2012-<\/h1>\n

J. Wang, V. Saligrama, Local Supervised Learning through Space Partitioning<\/a>, NIPS 2012 (code<\/a>)<\/p>\n

K. Trapeznikov et. al.,\u00a0Multi Stage Classifier Design<\/a>, ACML 2012<\/p>\n

G. Castanon et. al., Exploratory Search of Long Surveillance Videos<\/a>, (long paper), ACM Multimedia, 2012<\/p>\n

P. Jones, S. Mitter, V. Saligrama, Bayesian Filtering without an Observation Model, IEEE Conference on Decision and Control, 2012<\/p>\n

P. M. Jodoin, V. Saligrama, J. Konrad,\u00a0Behavior Subtraction<\/a>, IEEE Transactions on Image Processing, Sept. 2012<\/p>\n

V. Saligrama, Aperiodic Sequences with Uniformly Decaying Correlations\u00a0with\u00a0Applications to Compressed Sensing and System Identi\fcation, IEEE Transactions on Information Theory, Sept 2012.<\/p>\n

C. L. Chan, S. Jaggi, V. Saligrama, S. Agnihotri, Non-Adaptive Group Testing: Explicit Bounds and Algorithms<\/a>, ISIT 2012<\/p>\n

V. Saligrama, Z. Chen, Video Anomaly Detection Based on Local Statistical Aggregates<\/a>, CVPR 2012<\/p>\n

V. Saligrama, M. Zhao,\u00a0Local Anomaly Detection<\/a>, AISTATS 2012<\/p>\n

D. Motamed-Vaziri, V. Saligrama, D. Castanon,\u00a0A Combined Approach to Multi-label Multi-task Learning, IEEE Statistical Signal Processing Workshop, 2012<\/p>\n

C. Aksoylar, G. Atia, V. Saligrama,\u00a0Sample Complexity of Salient Feature Identification for Sparse Signal Processing,\u00a0IEEE Statistical Signal Processing Workshop,\u00a02012<\/p>\n

B. Orten, W. Karl, P. Ishwar, V. Saligrama,\u00a0Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals,\u00a0IEEE Statistical Signal Processing Workshop,\u00a02012<\/p>\n

G. Atia, V. Saligrama, “Boolean Compressed Sensing and Noisy Group Testing<\/a>,\u2019\u2019 IEEE Trans. on Information Theory, March 2012<\/p>\n

M. Cheraghchi, A. Karbasi, S. Mohajer, V. Saligrama, “Graph Constrained Group Testing<\/a>,\u2019\u2019 IEEE Trans. on Information Theory, Jan 2012<\/p>\n

2011<\/h1>\n

G. Atia, V. Saligrama,\u00a0A Mutual Information Characterization of Sparse Signal Processing<\/a>, Allerton UIUC 2011<\/p>\n

J. Qian, V. Saligrama, M. Zhao,\u00a0Graph Construction for Learning with Unbalanced Data<\/a>, Preprint 2011<\/p>\n

J. Wang, V. Saligrama, D. Castanon,\u00a0Structural Similarity and Distance in Learning<\/a>, Allerton 2011<\/p>\n

B. Orten, P. Ishwar, W. Karl, V. Saligrama,\u00a0Sensing Structure in Learning-Based Binary Classification of High-Dimensional Data: Opportunities and Perils, Allerton 2011<\/p>\n

B. Orten et. al.,\u00a0Sensing-aware classification with high-dimensional data<\/a>, ICASSP 2011<\/p>\n

B. Orten et. al.,\u00a0Sensing Structure in Learning-Based Binary Classification of High-Dimensional Data: Opportunities and Perils, Allerton 2011<\/p>\n

C. L. Park et. al.,\u00a0Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms<\/a>, Allerton 2011<\/p>\n

G. Atia, V. Saligrama, A mutual information characterization of sparse signal processing, ICALPGT 2011<\/p>\n

B. Orten et. al.,\u00a0Sensing-aware classification with high-dimensional data, ICASSP 2011<\/p>\n

K. Trapeznikov, V. Saligrama, D. Castanon, “Active Boosted Learning<\/a>,” AISTATS 2011<\/p>\n

S. Aeron, S. Bose, H. P. Valero, V. Saligrama,\u00a0Broadband Dispersion Extraction Using Simultaneous Sparse Penalization<\/a>, IEEE Transactions on Signal Processing, 2011<\/p>\n

V. Saligrama, M. Alanyali, “Token Based Algorithms for Distributed Computation<\/a>,\u2019\u2019 IEEE Journal of Selected Areas in Signal Processing, Aug. 2011<\/p>\n

V. Saligrama, M. Zhao, “Thresholded Basis Pursuit: A Linear Programming Approach to Optimal Support Recovery of Compressed Sparse Signals<\/a>,\u2019\u2019 IEEE Transactions on Information Theory, March 2011<\/p>\n

Y. Benezeth, P. Jodoin, V. Saligrama, “Abnormality Detection Using Low-Level Co-occurring Events<\/a>,\u2019\u2019 Pattern Recognition Letters, Feb. 2011<\/p>\n

2010 – 2011<\/h1>\n

P. Jones, V. Saligrama, S. Mitter,\u00a0Probabilistic Belief Revision with Structural Constraints,<\/a> NIPS 2010<\/p>\n

J. Wang, V. Saligrama, D. Castanon, \u201cMarkov and Hidden Markov Model Group Testing,\u201d Allerton UIUC 2010,<\/p>\n

D. \u00a0Motamedvaziri, V. Saligrama, D. Castanon, “Decentralized Compressive Sensing,\u201d Allerton UIUC 2010<\/p>\n

P. Jones, S. Mitter, V. Saligrama, \u201cRevision of Marginal Probability Assessments,\u201d Fusion 2010, Edinburgh, UK<\/p>\n

R. Kumar, D. Castanon, E. Ermis, V. Saligrama, \u201cA new algorithm for outlier rejection in particle filters,\u201d <\/strong>Fusion 2010, Edinburgh, UK<\/p>\n

M. Zhao, V. Saligrama, \u201c Noisy Filtered Processes: Reconstruction and\u00a0Compression<\/a>,\u201d IEEE Conference on Decision and Control, Atlanta, Dec. 2010<\/p>\n

M. Zhao, V. Saligrama, “Compressed Blind Deconvolution,\u2019\u2019 ICASSP 2010<\/p>\n

M. Cheraghchi, A. Karbasi, S. Mohajer, V. Saligrama, “Graph Constrained Group Testing,\u2019\u2019 ISIT. 2010.<\/p>\n

S. Aeron, S. Bose, H.P. Valero, V. Saligrama, “ Sparsity Penalized Reconstruction Framework for Broadband Dispersion Extraction,\u2019\u2019 pages: 2638 \u2013 2641, ICASSP 2010<\/p>\n

V. Saligrama,\u00a0Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification<\/a>, Submitted to IEEE Transactions on Information Theory.<\/p>\n

S. Aeron, V. Saligrama, M. Zhao, “Information Theoretic Analysis for Compressed Sensing<\/a>,\u2019\u2019 IEEE Trans. on Information Theory, pages: 5111 \u2013 5130, Oct. 2010<\/p>\n

E. Ermis, P. Jodoin, V. Saligrama, “Activity Based Matching in Multi-Camera Networks<\/a>,\u2019\u2019 IEEE Trans. on Image Processing, 2595 \u2013 2613, Oct. 2010.<\/p>\n

V. Saligrama, J. Konrad, V. Saligrama, “Video Anomaly Identification<\/a>,\u2019\u2019 IEEE Signal Processing Magazine, pages: 18-33, Sept. 2010.<\/p>\n

E. Ermis, V. Saligrama, “Distributed Detection for Multi-Modal Limited Range Sensors<\/a>,\u2019\u2019 IEEE Transactions on Signal Processing, pages 843-858, Jan 2010<\/p>\n

2009-2010<\/h1>\n

J. McHugh, J. Konrad, V. Saligrama, and P.-M. Jodoin, “Foreground-adaptive background subtraction<\/a>,” IEEE Signal Process. Lett., pages 390-393, Sep. 2009.<\/p>\n

A. Sahai, K.Woyach, G. Atia, and V. Saligrama, \u201cA technical perspective on light-handed regulation for cognitive radios<\/a>,\u201d pages 96-102, IEEE Communications Magazine, Jan 2009<\/p>\n

M. Zhao, V. Saligrama, “Anomaly Detection with Score Functions on K Nearest Neighbor Graphs<\/a>,\u2019\u2019 NIPS 2009, (Spotlight Presentation)<\/p>\n

G. Atia, V. Saligrama, “Noisy Group Testing: An information theoretic perspective,\u2019\u2019 Allerton, pages, 355 \u2013 362, UIUC 2009<\/p>\n

Jodoin P-M, Saligrama V. Konrad J., Implicit Active-Contouring with MRF,\u00a0International Conference on Image Analysis and Recognition (ICIAR), 2009<\/p>\n

Y. Benezeth, P. M. Jodoin, and V. Saligrama, and C. Rosenberger, “Abnormal Events Detection Based on Spatio-Temporal Co-occurences,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR), Jun. 2009<\/p>\n

E. Ermis, P. Clarot, P. M. Jodoin, and V. Saligrama, “Unsupervised Camera Network Structure Estimation Based on Activity,” in ICDSC 2009<\/p>\n

M. Zhao, V. Saligrama, Outlier detection via localized p-value estimation, Allerton 2009<\/p>\n","protected":false},"excerpt":{"rendered":"

Citations on Google Scholar 2014 – Information-Theoretic Bounds for Adaptive Sparse Recovery, ISIT 2014 Information-Theoretic Characterization of Sparse Recovery,\u00a0AISTATS 2014 An LP for Sequential Learning Under Budgets, AISTATS 2014 Efficient Distributed Topic Modeling with Provable Guarantees, AISTATS 2014 Connected Sub-graph Detection, AISTATS 2014 Sensing-aware kernel SVM, ICASSP 2014 Fast Margin-based Cost-Sensitive Classification, ICASSP 2014 Spectral […]<\/p>\n","protected":false},"author":1776,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=\/wp\/v2\/pages\/135"}],"collection":[{"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=\/wp\/v2\/users\/1776"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=135"}],"version-history":[{"count":49,"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=\/wp\/v2\/pages\/135\/revisions"}],"predecessor-version":[{"id":403,"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=\/wp\/v2\/pages\/135\/revisions\/403"}],"wp:attachment":[{"href":"https:\/\/blogs.bu.edu\/srv\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=135"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}