Namrata Vaswani
According to our database^{1},
Namrata Vaswani
authored at least 125 papers
between 2001 and 2019.
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Bibliography
2019
Provable Subspace Tracking From Missing Data and Matrix Completion.
IEEE Trans. Signal Processing, 2019
Provable Dynamic Robust PCA or Robust Subspace Tracking.
IEEE Trans. Information Theory, 2019
Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation.
CoRR, 2019
Phaseless Low Rank Matrix Recovery and Subspace Tracking.
CoRR, 2019
Provable Subspace Tracking with Missing Entries.
Proceedings of the IEEE International Symposium on Information Theory, 2019
Phaseless PCA: LowRank Matrix Recovery from Columnwise Phaseless Measurements.
Proceedings of the 36th International Conference on Machine Learning, 2019
PhaST: Modelfree Phaseless Subspace Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2019
Provable Memoryefficient Online Robust Matrix Completion.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery.
IEEE Signal Process. Mag., 2018
A Feature Article Cluster on Exploiting Structure in Data Analytics: LowRank and Sparse Structures [From the Guest Editor].
IEEE Signal Process. Mag., 2018
Women in Signal Processing Committee Highlights [Society News].
IEEE Signal Process. Mag., 2018
Video Denoising via Dynamic Video Layering.
IEEE Signal Process. Lett., 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review.
Proceedings of the IEEE, 2018
Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications.
Proceedings of the IEEE, 2018
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications.
J. Sel. Topics Signal Processing, 2018
Subspace Tracking from Missing and Outlier Corrupted Data.
CoRR, 2018
Phaseless Subspace Tracking.
CoRR, 2018
Static and Dynamic Robust PCA via LowRank + Sparse Matrix Decomposition: A Review.
CoRR, 2018
Robust PCA and Robust Subspace Tracking: A Comparative Evaluation.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
PCA in Sparse DataDependent Noise.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Provable Dynamic Robust PCA or Robust Subspace Tracking.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Nearly Optimal Robust Subspace Tracking.
Proceedings of the 35th International Conference on Machine Learning, 2018
Model Corrected Low Rank Ptychography.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
A Fast and MemoryEfficient Algorithm for Robust PCA (MEROP).
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
SubDiffraction Imaging Using Fourier Ptychography and Structured Sparsity.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Low Rank Fourier Ptychography.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Phaseless Subspace Tracking.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Nearly Optimal Robust Subspace Tracking: A Unified Approach.
Proceedings of the 2018 IEEE Data Science Workshop, 2018
2017
LowRank Phase Retrieval.
IEEE Trans. Signal Processing, 2017
MEDRoP: MemoryEfficient Dynamic Robust PCA.
CoRR, 2017
Robust PCA and Robust Subspace Tracking.
CoRR, 2017
Video Denoising and Enhancement via Dynamic Video Layering.
CoRR, 2017
Finite Sample Guarantees for PCA in NonIsotropic and DataDependent Noise.
CoRR, 2017
New Results for Provable Dynamic Robust PCA.
CoRR, 2017
Low rank phase retrieval.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Finite sample guarantees for PCA in nonisotropic and datadependent noise.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Recursive Recovery of Sparse Signal Sequences From Compressive Measurements: A Review.
IEEE Trans. Signal Processing, 2016
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees.
CoRR, 2016
Recursive Recovery of Sparse Signal Sequences from Compressive Measurements: A Review.
CoRR, 2016
Low Rank Phase Retrieval.
CoRR, 2016
CorrelatedPCA: Principal Components' Analysis when Data and Noise are Correlated.
CoRR, 2016
Low rank matrix recovery from columnwise phaseless measurements.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Video denoising via online sparse and lowrank matrix decomposition.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
CorrelatedPCA: Principal Components' Analysis when Data and Noise are Correlated.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Robust PCA With Partial Subspace Knowledge.
IEEE Trans. Signal Processing, 2015
Time Invariant Error Bounds for ModifiedCSBased Sparse Signal Sequence Recovery.
IEEE Trans. Information Theory, 2015
Online Matrix Completion and Online Robust PCA.
CoRR, 2015
Online matrix completion and online robust PCA.
Proceedings of the IEEE International Symposium on Information Theory, 2015
A correctness result for online robust PCA.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
An Online Algorithm for Separating Sparse and LowDimensional Signal Sequences From Their Sum.
IEEE Trans. Signal Processing, 2014
Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise.
IEEE Trans. Information Theory, 2014
Performance Guarantees for ReProCS  Correlated LowRank Matrix Entries Case.
CoRR, 2014
Robust PCA with Partial Subspace Knowledge.
CoRR, 2014
A Correctness Result for Online Robust PCA.
CoRR, 2014
Performance guarantees for ReProCS  Correlated lowrank matrix entries case.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Robust PCA with partial subspace knowledge.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Practical ReProCS for separating sparse and lowdimensional signal sequences from their sum  Part 1.
Proceedings of the IEEE International Conference on Acoustics, 2014
Practical ReProCS for separating sparse and lowdimensional signal sequences from their sum  Part 2.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
2013
Time Invariant Error Bounds for ModifiedCS based Sparse Signal Sequence Recovery
CoRR, 2013
Recursive Sparse Recovery in Large but Structured Noise  Part 2
CoRR, 2013
PaFiMoCS: Particle Filtered ModifiedCS and Applications in Visual Tracking across Illumination Change
CoRR, 2013
Practical ReProCS for Separating Sparse and Lowdimensional Signal Sequences from their Sum.
CoRR, 2013
Time invariant error bounds for modifiedCS based sparse signal sequence recovery.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Recursive sparse recovery in large but structured noise  Part 2.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Separating sparse and lowdimensional signal sequences from timevarying undersampled projections of their sums.
Proceedings of the IEEE International Conference on Acoustics, 2013
Tracking sparse signal sequences from nonlinear/nonGaussian measurements and applications in illuminationmotion tracking.
Proceedings of the IEEE International Conference on Acoustics, 2013
Recursive robust PCA or recursive sparse recovery in large but structured noise.
Proceedings of the IEEE International Conference on Acoustics, 2013
Performance guarantees for undersampled recursive sparse recovery in large but structured noise.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
Exact Reconstruction Conditions for Regularized Modified Basis Pursuit.
IEEE Trans. Signal Processing, 2012
Regularized Modified BPDN for Noisy Sparse Reconstruction With Partial Erroneous Support and Signal Value Knowledge.
IEEE Trans. Signal Processing, 2012
Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes.
IEEE Trans. Image Processing, 2012
Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise
CoRR, 2012
2011
Exact Reconstruction Conditions for Regularized Modified Basis Pursuit
CoRR, 2011
ReProCS: A Missing Link between Recursive Robust PCA and Recursive Sparse Recovery in Large but Correlated Noise
CoRR, 2011
Stability of ModifiedCS and LSCS for Recursive Reconstruction of Sparse Signal Sequences
CoRR, 2011
SupportPredicted ModifiedCS for Recursive Robust Principal Components' Pursuit
CoRR, 2011
SupportPredicted ModifiedCS for recursive robust principal components' Pursuit.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
ModifiedCSresidual for recursive reconstruction of highly undersampled functional MRI sequences.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Stability (over time) of Regularized modified CS(noisy) for recursive causal sparse reconstruction.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
Recursive sparse recovery in large but correlated noise.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
ModifiedCS: modifying compressive sensing for problems with partially known support.
IEEE Trans. Signal Processing, 2010
LSCSresidual (LSCS): compressive sensing on least squares residual.
IEEE Trans. Signal Processing, 2010
Deform PFMT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations.
IEEE Trans. Image Processing, 2010
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Realtime Robust Principal Components' Pursuit
CoRR, 2010
Stability (over time) of ModifiedCS and LSCS for Recursive Causal Sparse Reconstruction
CoRR, 2010
Regularized ModifiedBPDN for compressive sensing with partially known support
CoRR, 2010
Modified Basis Pursuit Denoising(modifiedBPDN) for noisy compressive sensing with partially known support.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
KFCS: Compressive Sensing on Kalman Filtered Residual
CoRR, 2009
LSCS: Compressive Sensing on Least Squares Residual
CoRR, 2009
Modified Basis Pursuit Denoising(MODIFIEDBPDN) for Noisy Compressive Sensing with Partially Known Support
CoRR, 2009
Analyzing Least Squares and Kalman Filtered Compressed Sensing
CoRR, 2009
ModifiedCS: Modifying Compressive Sensing for Problems with Partially Known Support
CoRR, 2009
ModifiedCS: Modifying compressive sensing for problems with partially known support.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Modified compressive sensing for realtime dynamic MR imaging.
Proceedings of the International Conference on Image Processing, 2009
Analyzing Least Squares and Kalman Filtered Compressed Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009
Realtime dynamic MR image reconstruction using Kalman Filtered Compressed Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Particle Filtering for LargeDimensional State Spaces With Multimodal Observation Likelihoods.
IEEE Trans. Signal Processing, 2008
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
CoRR, 2008
Kalman Filtered Compressed Sensing
CoRR, 2008
Kalman filtered Compressed Sensing.
Proceedings of the International Conference on Image Processing, 2008
Generalized ELL for detecting and tracking through illumination model changes.
Proceedings of the International Conference on Image Processing, 2008
Modelbased compression of nonstationary landmark shape sequences.
Proceedings of the International Conference on Image Processing, 2008
2007
Additive Change Detection in Nonlinear Systems With Unknown Change Parameters.
IEEE Trans. Signal Processing, 2007
A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior.
IEEE Trans. Image Processing, 2007
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours.
IEEE Trans. Pattern Anal. Mach. Intell., 2007
PFEIS & PFMT: New Particle Filtering Algorithms for Multimodal Observation Likelihoods and Large Dimensional State Spaces.
Proceedings of the IEEE International Conference on Acoustics, 2007
Particle Filter with Mode Tracker(PFMT) for Visual Tracking Across Illumination Change.
Proceedings of the IEEE International Conference on Acoustics, 2007
ClosedLoop Tracking and Change Detection in MultiActivity Sequences.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
Principal Components Null Space Analysis for Image and Video Classification.
IEEE Trans. Image Processing, 2006
Integrated Tracking and Recognition of Human Activities in Shape Space.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
Summarization and Indexing of Human Activity Sequences.
Proceedings of the International Conference on Image Processing, 2006
Particle Filters for Infinite (or Large) Dimensional State Spaces Part 1.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Particle Filters for Infinite (or Large) Dimensional State SpacesPart 2.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
"Shape Activity": A ContinuousState HMM for Moving/Deforming Shapes With Application to Abnormal Activity Detection.
IEEE Trans. Image Processing, 2005
The modified CUSUM algorithm for slow and drastic change detection in general HMMs with unknown change parameters.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
Classification Probability Analysis of Principal Component Null Space Analysis.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Bound on errors in particle filtering with incorrect model assumptions and its implication for change detection.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Recognition of dynamic hand gestures.
Pattern Recognition, 2003
Statistical shape theory for activity modeling.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003
Activity Recognition Using the Dynamics of the Configuration of Interacting Objects.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003
2002
A Linear Classifier for Gaussian Class Conditional Distributions with Unequal Covariance Matrices.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
2001
Best view selection and compression of moving objects in IR sequences.
Proceedings of the IEEE International Conference on Acoustics, 2001