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Robust PCA as Bilinear Decomposition with Outlier-Sparsity
  Regularization

Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization

IEEE Transactions on Signal Processing (IEEE TSP), 2011
8 November 2011
Gonzalo Mateos
G. Giannakis
ArXiv (abs)PDFHTML

Papers citing "Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization"

17 / 17 papers shown
Tuning-Free Online Robust Principal Component Analysis through Implicit Regularization
Tuning-Free Online Robust Principal Component Analysis through Implicit RegularizationIEEE Signal Processing Letters (SPL), 2024
Lakshmi Jayalal
Gokularam Muthukrishnan
Sheetal Kalyani
193
0
0
11 Sep 2024
Streaming data preprocessing via online tensor recovery for large
  environmental sensor networks
Streaming data preprocessing via online tensor recovery for large environmental sensor networksACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Yue Hu
Ao Qu
Yanbing Wang
D. Work
239
16
0
01 Sep 2021
A Nonconvex Projection Method for Robust PCA
A Nonconvex Projection Method for Robust PCA
Aritra Dutta
Filip Hanzely
Peter Richtárik
302
25
0
21 May 2018
Nonlinear Dimensionality Reduction for Discriminative Analytics of
  Multiple Datasets
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets
Jia Chen
G. Wang
G. Giannakis
222
24
0
15 May 2018
Weighted Low-Rank Approximation of Matrices and Background Modeling
Weighted Low-Rank Approximation of Matrices and Background Modeling
Aritra Dutta
Xin Li
Peter Richtárik
238
11
0
15 Apr 2018
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and
  Robust Subspace Recovery
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata Vaswani
T. Bouwmans
S. Javed
Praneeth Narayanamurthy
OOD
496
305
0
26 Nov 2017
Online and Batch Supervised Background Estimation via L1 Regression
Online and Batch Supervised Background Estimation via L1 Regression
Aritra Dutta
Peter Richtárik
208
9
0
23 Nov 2017
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple
  Large-Scale Datasets
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale DatasetsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017
G. Wang
Jia Chen
G. Giannakis
103
12
0
25 Oct 2017
Quantifying Urban Traffic Anomalies
Quantifying Urban Traffic Anomalies
Zhengyi Zhou
Philipp Meerkamp
C. Volinsky
213
4
0
30 Sep 2016
A New Approach to Dimensionality Reduction for Anomaly Detection in Data
  Traffic
A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic
Tingshan Huang
H. Sethu
Nagarajan Kandasamy
184
40
0
14 Jun 2016
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
398
344
0
04 Nov 2015
Robust PCA: Optimization of the Robust Reconstruction Error over the
  Stiefel Manifold
Robust PCA: Optimization of the Robust Reconstruction Error over the Stiefel ManifoldGerman Conference on Pattern Recognition (DAGM), 2014
A. Podosinnikova
S. Setzer
Matthias Hein
236
24
0
01 Jun 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
Randomized Robust Subspace Recovery for High Dimensional Data MatricesIEEE Transactions on Signal Processing (IEEE TSP), 2015
M. Rahmani
George Atia
375
58
0
21 May 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust
  Low-Rank Subspace Recovery and Clustering
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering
Jun He
Yue Zhang
251
8
0
12 Dec 2014
Outlier-Robust Convex Segmentation
Outlier-Robust Convex SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2014
Itamar Katz
K. Crammer
218
7
0
17 Nov 2014
Learning efficient sparse and low rank models
Learning efficient sparse and low rank models
Pablo Sprechmann
A. Bronstein
Guillermo Sapiro
463
201
0
14 Dec 2012
Learning Robust Low-Rank Representations
Learning Robust Low-Rank Representations
Pablo Sprechmann
A. Bronstein
Guillermo Sapiro
299
11
0
27 Sep 2012
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