Namrata Vaswani

According to our database1, Namrata Vaswani authored at least 125 papers between 2001 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements.
Proceedings of the 36th International Conference on Machine Learning, 2019

PhaST: Model-free Phaseless Subspace Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2019

Provable Memory-efficient 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: Low-Rank 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 Low-Rank + 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 Data-Dependent 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 Memory-Efficient Algorithm for Robust PCA (MEROP).
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sub-Diffraction 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
Low-Rank Phase Retrieval.
IEEE Trans. Signal Processing, 2017

MEDRoP: Memory-Efficient 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 Non-Isotropic and Data-Dependent 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 non-isotropic and data-dependent 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

Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated.
CoRR, 2016

Low rank matrix recovery from column-wise phaseless measurements.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Video denoising via online sparse and low-rank matrix decomposition.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Correlated-PCA: 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 Modified-CS-Based 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 Low-Dimensional 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 Low-Rank 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 low-rank 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 low-dimensional signal sequences from their sum - Part 1.
Proceedings of the IEEE International Conference on Acoustics, 2014

Practical ReProCS for separating sparse and low-dimensional 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 Modified-CS based Sparse Signal Sequence Recovery
CoRR, 2013

Recursive Sparse Recovery in Large but Structured Noise - Part 2
CoRR, 2013

PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
CoRR, 2013

Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum.
CoRR, 2013

Time invariant error bounds for modified-CS 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 low-dimensional signal sequences from time-varying undersampled projections of their sums.
Proceedings of the IEEE International Conference on Acoustics, 2013

Tracking sparse signal sequences from nonlinear/non-Gaussian measurements and applications in illumination-motion 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 Modified-CS and LS-CS for Recursive Reconstruction of Sparse Signal Sequences
CoRR, 2011

Support-Predicted Modified-CS for Recursive Robust Principal Components' Pursuit
CoRR, 2011

Support-Predicted Modified-CS for recursive robust principal components' Pursuit.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Modified-CS-residual 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
Modified-CS: modifying compressive sensing for problems with partially known support.
IEEE Trans. Signal Processing, 2010

LS-CS-residual (LS-CS): compressive sensing on least squares residual.
IEEE Trans. Signal Processing, 2010

Deform PF-MT: 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

Real-time Robust Principal Components' Pursuit
CoRR, 2010

Stability (over time) of Modified-CS and LS-CS for Recursive Causal Sparse Reconstruction
CoRR, 2010

Regularized Modified-BPDN for compressive sensing with partially known support
CoRR, 2010

Modified Basis Pursuit Denoising(modified-BPDN) for noisy compressive sensing with partially known support.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
KF-CS: Compressive Sensing on Kalman Filtered Residual
CoRR, 2009

LS-CS: Compressive Sensing on Least Squares Residual
CoRR, 2009

Modified Basis Pursuit Denoising(MODIFIED-BPDN) for Noisy Compressive Sensing with Partially Known Support
CoRR, 2009

Analyzing Least Squares and Kalman Filtered Compressed Sensing
CoRR, 2009

Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support
CoRR, 2009

Modified-CS: Modifying compressive sensing for problems with partially known support.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Modified compressive sensing for real-time 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

Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Particle Filtering for Large-Dimensional 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

Model-based 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

PF-EIS & PF-MT: 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(PF-MT) for Visual Tracking Across Illumination Change.
Proceedings of the IEEE International Conference on Acoustics, 2007

Closed-Loop Tracking and Change Detection in Multi-Activity 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 Spaces-Part 2.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
"Shape Activity": A Continuous-State 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


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