Venkatesh Saligrama

Orcid: 0000-0002-0675-2268

Affiliations:
  • Department of Electrical and Computer Engineering, Boston University


According to our database1, Venkatesh Saligrama authored at least 247 papers between 2001 and 2024.

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Bibliography

2024
Interpretable Compositional Representations for Robust Few-Shot Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Deep Companion Learning: Enhancing Generalization Through Historical Consistency.
CoRR, 2024

SynCDR : Training Cross Domain Retrieval Models with Synthetic Data.
CoRR, 2024

Testing the Feasibility of Linear Programs with Bandit Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Safe Linear Bandits over Unknown Polytopes.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction.
CoRR, 2023

Learning Human Action Recognition Representations Without Real Humans.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Edge Inference by Selective Query.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scaffolding a Student to Instill Knowledge.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Drive Anywhere.
Proceedings of the Conference on Robot Learning, 2023

Fine-grained Few-shot Recognition by Deep Object Parsing.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"!
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Doubly Optimistic Strategy for Safe Linear Bandits.
CoRR, 2022

FedHeN: Federated Learning in Heterogeneous Networks.
CoRR, 2022

Learning Compositional Representations for Effective Low-Shot Generalization.
CoRR, 2022

How Transferable are Video Representations Based on Synthetic Data?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Faster Algorithms for Learning Convex Functions.
Proceedings of the International Conference on Machine Learning, 2022

ActiveHedge: Hedge meets Active Learning.
Proceedings of the International Conference on Machine Learning, 2022

Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk.
Proceedings of the International Conference on Machine Learning, 2022

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Condensing CNNs with Partial Differential Equations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Faster Convex Lipschitz Regression via 2-block ADMM.
CoRR, 2021

Bandit Quickest Changepoint Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Selective Classification with Limited Feedback.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Recurrent Neural Networks via Forward Propagation Through Time.
Proceedings of the 38th International Conference on Machine Learning, 2021

Debiasing Model Updates for Improving Personalized Federated Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Memory Efficient Online Meta Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Federated Learning Based on Dynamic Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Effectively Leveraging Attributes for Visual Similarity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Time Adaptive Recurrent Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Selective Classification via One-Sided Prediction.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Zero Shot Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers.
J. Mach. Learn. Res., 2020

Online Algorithm for Unsupervised Sequential Selection with Contextual Information.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Approximate a Bregman Divergence.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Limits on Testing Structural Changes in Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Low Dimensional Visual Attributes: An Interpretable Image Encoding.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Piecewise Linear Regression via a Difference of Convex Functions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Minimax Rate for Learning From Pairwise Comparisons in the BTL Model.
Proceedings of the 37th International Conference on Machine Learning, 2020

RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
Proceedings of the 8th International Conference on Learning Representations, 2020

Don't Even Look Once: Synthesizing Features for Zero-Shot Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Minimax Rank-$1$ Matrix Factorization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Budget Learning via Bracketing.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs.
IEEE Trans. Multim., 2019

Dont Even Look Once: Synthesizing Features for Zero-Shot Detection.
CoRR, 2019

RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
CoRR, 2019

Learning Bregman Divergences.
CoRR, 2019

Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability.
CoRR, 2019

Learning for New Visual Environments with Limited Labels.
CoRR, 2019

Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Classifiers for Target Domain with Limited or No Labels.
Proceedings of the 36th International Conference on Machine Learning, 2019

Graph Resistance and Learning from Pairwise Comparisons.
Proceedings of the 36th International Conference on Machine Learning, 2019

Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Robust Text Classifier on Test-Time Budgets.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generalized Zero-Shot Recognition Based on Visually Semantic Embedding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cost aware Inference for IoT Devices.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Online Algorithm for Unsupervised Sensor Selection.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems.
IEEE Trans. Inf. Theory, 2018

Sequential Optimization for Efficient High-Quality Object Proposal Generation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Testing Changes in Communities for the Stochastic Block Model.
CoRR, 2018

Learning Where to Fixate on Foveated Images.
CoRR, 2018

Zero-Shot Detection.
CoRR, 2018

Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Clustering and Community Detection With Imbalanced Clusters.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in "Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations".
IEEE Trans. Inf. Theory, 2017

Learning Immune-Defectives Graph Through Group Tests.
IEEE Trans. Inf. Theory, 2017

Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach.
IEEE Trans. Inf. Theory, 2017

PRISM: Person Reidentification via Structured Matching.
IEEE Trans. Circuits Syst. Video Technol., 2017

Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget.
CoRR, 2017

Field of Groves: An Energy-Efficient Random Forest.
CoRR, 2017

Comments on the proof of adaptive submodular function minimization.
CoRR, 2017

Dynamic Model Selection for Prediction Under a Budget.
CoRR, 2017

Crowdsourcing with Sparsely Interacting Workers.
CoRR, 2017

Adaptive Neural Networks for Fast Test-Time Prediction.
CoRR, 2017

Adaptive Classification for Prediction Under a Budget.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adaptive Neural Networks for Efficient Inference.
Proceedings of the 34th International Conference on Machine Learning, 2017

Connected Subgraph Detection with Mirror Descent on SDPs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Lower bounds for two-sample structural change detection in ising and Gaussian models.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Unsupervised Sequential Sensor Acquisition.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Resource Constrained Structured Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Minimax Optimal Sparse Signal Recovery With Poisson Statistics.
IEEE Trans. Signal Process., 2016

Guest Editorial Inference and Learning over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes.
IEEE Trans. Circuits Syst. Video Technol., 2016

A Provably Efficient Algorithm for Separable Topic Discovery.
IEEE J. Sel. Top. Signal Process., 2016

Learning Joint Feature Adaptation for Zero-Shot Recognition.
CoRR, 2016

Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs.
CoRR, 2016

Optimally Pruning Decision Tree Ensembles With Feature Cost.
CoRR, 2016

Sequential Learning without Feedback.
CoRR, 2016

Quantifying and Reducing Stereotypes in Word Embeddings.
CoRR, 2016

Structured Prediction with Test-time Budget Constraints.
CoRR, 2016

Pruning Random Forests for Prediction on a Budget.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Energy-Efficient Adaptive Classifier Design for Mobile Systems.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Efficient algorithms for linear polyhedral bandits.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Zero-Shot Recognition via Structured Prediction.
Proceedings of the Computer Vision - ECCV 2016, 2016

Zero-Shot Learning via Joint Latent Similarity Embedding.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Training of Very Deep Neural Networks for Supervised Hashing.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera.
Proceedings of the 2016 American Control Conference, 2016

2015
Correction to "Boolean Compressed Sensing and Noisy Group Testing".
IEEE Trans. Inf. Theory, 2015

Prediction of hospitalization due to heart diseases by supervised learning methods.
Int. J. Medical Informatics, 2015

Classifying Unseen Instances by Learning Class-Independent Similarity Functions.
CoRR, 2015

BING++: A Fast High Quality Object Proposal Generator at 100fps.
CoRR, 2015

Supervised Hashing with Deep Neural Networks.
CoRR, 2015

Sensor Selection by Linear Programming.
CoRR, 2015

Max-Cost Discrete Function Evaluation Problem under a Budget.
CoRR, 2015

Algorithms for Linear Bandits on Polyhedral Sets.
CoRR, 2015

Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery.
CoRR, 2015

Learning Mixed Membership Mallows Models from Pairwise Comparisons.
CoRR, 2015

Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Activity Retrieval through Semantic Graph Queries.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Non-adaptive group testing with inhibitors.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Most large topic models are approximately separable.
Proceedings of the 2015 Information Theory and Applications Workshop, 2015

Feature-Budgeted Random Forest.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Cheap Bandits.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Zero-Shot Learning via Semantic Similarity Embedding.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Group Membership Prediction.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient detection and localization on graph structured data.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Learning shared rankings from mixtures of noisy pairwise comparisons.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Cost effective algorithms for spectral bandits.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Learning Efficient Anomaly Detectors from K-NN Graphs.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A Topic Modeling Approach to Ranking.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms.
IEEE Trans. Inf. Theory, 2014

Person Re-identification via Structured Prediction.
CoRR, 2014

Non-Adaptive Group Testing with Inhibitors.
CoRR, 2014

Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data.
CoRR, 2014

Efficient Minimax Signal Detection on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Information-theoretic bounds for adaptive sparse recovery.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Anomalous cluster detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

Spectral clustering with imbalanced data.
Proceedings of the IEEE International Conference on Acoustics, 2014

Fast margin-based cost-sensitive classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse signal recovery under poisson statistics for online marketing applications.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sensing-aware kernel SVM.
Proceedings of the IEEE International Conference on Acoustics, 2014

A Novel Visual Word Co-occurrence Model for Person Re-identification.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Model Selection by Linear Programming.
Proceedings of the Computer Vision - ECCV 2014, 2014

An LP for Sequential Learning Under Budgets.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Connected Sub-graph Detection.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Efficient Distributed Topic Modeling with Provable Guarantees.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Information-Theoretic Characterization of Sparse Recovery.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Multi-stage classifier design.
Mach. Learn., 2013

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals.
IEEE J. Sel. Top. Signal Process., 2013

Near-Optimal Stochastic Threshold Group Testing
CoRR, 2013

Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models.
CoRR, 2013

An impossibility result for high dimensional supervised learning.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Stochastic threshold group testing.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Topic Discovery through Data Dependent and Random Projections.
Proceedings of the 30th International Conference on Machine Learning, 2013

A new geometric approach to latent topic modeling and discovery.
Proceedings of the IEEE International Conference on Acoustics, 2013

A new one-class SVM for anomaly detection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressive sensing bounds through a unifying framework for sparse models.
Proceedings of the IEEE International Conference on Acoustics, 2013

User-assisted reflection detection and feature point tracking.
Proceedings of the Conference on Visual Media Production 2013, 2013

Online local linear classification.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Sparse signal recovery under Poisson statistics.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Supervised Sequential Classification Under Budget Constraints.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Dynamic topic discovery through sequential projections.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Locally-Linear Learning Machines (L3M).
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Aperiodic Sequences With Uniformly Decaying Correlations With Applications to Compressed Sensing and System Identification.
IEEE Trans. Inf. Theory, 2012

Graph-Constrained Group Testing.
IEEE Trans. Inf. Theory, 2012

Boolean Compressed Sensing and Noisy Group Testing.
IEEE Trans. Inf. Theory, 2012

Behavior Subtraction.
IEEE Trans. Image Process., 2012

Local Anomaly Detection.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Cost Sensitive Sequential Classification
CoRR, 2012

Graph-based Learning with Unbalanced Clusters
CoRR, 2012

Two stage decision system.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

New statistic in P-value estimation for anomaly detection.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A combined approach to multi-label multi-task learning.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sample complexity of salient feature identification for sparse signal processing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Local Supervised Learning through Space Partitioning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Exploratory search of long surveillance videos.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Video anomaly detection based on local statistical aggregates.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Bayesian filtering without an observation model.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Real-Time Activity Search of Surveillance Video.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011
Broadband Dispersion Extraction Using Simultaneous Sparse Penalization.
IEEE Trans. Signal Process., 2011

Thresholded Basis Pursuit: LP Algorithm for Order-Wise Optimal Support Recovery for Sparse and Approximately Sparse Signals From Noisy Random Measurements.
IEEE Trans. Inf. Theory, 2011

Abnormality detection using low-level co-occurring events.
Pattern Recognit. Lett., 2011

A Token-Based Approach for Distributed Computation in Sensor Networks.
IEEE J. Sel. Top. Signal Process., 2011

Active Boosted Learning (ActBoost).
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Token Based Algorithm to Distributed Computation in Sensor Networks
CoRR, 2011

Sensing-aware classification with high-dimensional data.
Proceedings of the IEEE International Conference on Acoustics, 2011

Structural similarity and distance in learning.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Sensing structure in learning-based binary classification of high-dimensional data.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Distributed detection in sensor networks with limited range multimodal sensors.
IEEE Trans. Signal Process., 2010

Information theoretic bounds for compressed sensing.
IEEE Trans. Inf. Theory, 2010

Activity Based Matching in Distributed Camera Networks.
IEEE Trans. Image Process., 2010

Video Anomaly Identification.
IEEE Signal Process. Mag., 2010

Probabilistic Belief Revision with Structural Constraints.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

On compressed blind de-convolution of filtered sparse processes.
Proceedings of the IEEE International Conference on Acoustics, 2010

Sparsity penalized reconstruction framework for broadband dispersion extraction.
Proceedings of the IEEE International Conference on Acoustics, 2010

A new algorithm for outlier rejection in particle filters.
Proceedings of the 13th Conference on Information Fusion, 2010

Revision of marginal probability assessments.
Proceedings of the 13th Conference on Information Fusion, 2010

Noisy filtered sparse processes: Reconstruction and compression.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Markov group testing.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Decentralized compressive sensing.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Foreground-Adaptive Background Subtraction.
IEEE Signal Process. Lett., 2009

Compressed Blind De-convolution
CoRR, 2009

A technical framework for light- handed regulation of cognitive radios.
IEEE Commun. Mag., 2009

Anomaly Detection with Score functions based on Nearest Neighbor Graphs.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Implicit Active-Contouring with MRF.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Unsupervised camera network structure estimation based on activity.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Abnormal events detection based on spatio-temporal co-occurences.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Outlier detection via localized p-value estimation.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

Noisy group testing: An information theoretic perspective.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks.
IEEE Trans. Signal Process., 2008

Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks.
IEEE Trans. Signal Process., 2008

Thresholded Basis Pursuit: Quantizing Linear Programming Solutions for Optimal Support Recovery and Approximation in Compressed Sensing
CoRR, 2008

Distributed Detection in Sensor Networks with Limited Range Multi-Modal Sensors
CoRR, 2008

Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification
CoRR, 2008

Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing
CoRR, 2008

Motion detection with false discovery rate control.
Proceedings of the International Conference on Image Processing, 2008

Motion detection with an unstable camera.
Proceedings of the International Conference on Image Processing, 2008

Motion segmentation and abnormal behavior detection via behavior clustering.
Proceedings of the International Conference on Image Processing, 2008

Modeling background activity for behavior subtraction.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Abnormal behavior detection and behavior matching for networked cameras.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

On Throughput Maximization and Interference Avoidance in Cognitive Radios.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

Crime and Punishment for Cognitive Radios.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Codes to unmask spectrum violators in cognitive radio systems.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Distributed Tracking in Multihop Sensor Networks With Communication Delays.
IEEE Trans. Signal Process., 2007

On Optimal Outage in Relay Channels With General Fading Distributions.
IEEE Trans. Inf. Theory, 2007

Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime.
IEEE Trans. Inf. Theory, 2007

Distributed Detection in Sensor Networks with Limited Range Sensors
CoRR, 2007

On sensing capacity of sensor networks for the class of linear observation, fixed SNR models
CoRR, 2007

Robust Distributed Detection with Limited Range Sensors.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links.
IEEE Trans. Signal Process., 2006

Search and discovery in an uncertain networked world.
IEEE Signal Process. Mag., 2006

On the macroscopic effects of local interactions in multi-hop wireless networks.
Proceedings of the 4th International Symposium on Modeling and Optimization in Mobile, 2006

Reliable Tracking With Intermittent Communications.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence.
Proceedings of the Distributed Computing in Sensor Systems, 2006

Randomized Sequential Algorithms for Data Aggregation in Sensor Networks.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

Detection and Localization in Sensor Networks Using Distributed FDR.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

Distributed Target tracking and localization in multi-hop networks.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

Reliable Distributed Estimation with Intermittent Communications.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Necessary and sufficient conditions for robust identification of uncertain LTI systems.
Syst. Control. Lett., 2004

Classification in sensor networks.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Capacity scaling in wireless ad-hoc networks with P<sub>e</sub>.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Performance guarantees in sensor networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Distributed Bayesian hypothesis testing in sensor networks.
Proceedings of the 2004 American Control Conference, 2004

2003
Identification of uncertain systems described by linear fractional transformations.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2001
Dynamic inverse optimization.
Proceedings of the American Control Conference, 2001


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