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A Novel M-Estimator for Robust PCA
Journal of machine learning research (JMLR), 2011
20 December 2011
Teng Zhang
Gilad Lerman
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Papers citing
"A Novel M-Estimator for Robust PCA"
50 / 55 papers shown
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
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Nested subspace learning with flags
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Xavier Pennec
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A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
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Teng Zhang
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17 Apr 2024
Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator
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Feng Yu
306
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27 Mar 2024
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Nora Ouzir
Frédéric Pascal
J. Pesquet
217
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0
12 Dec 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Ankit Pratap Singh
Namrata Vaswani
494
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25 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
244
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02 Sep 2023
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Neural Information Processing Systems (NeurIPS), 2022
L. Danon
Dan Garber
270
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0
19 Jun 2022
Stochastic and Private Nonconvex Outlier-Robust PCA
Mathematical and Scientific Machine Learning (MSML), 2022
Tyler Maunu
Chenyun Yu
Gilad Lerman
312
4
0
17 Mar 2022
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
International Conference on Learning Representations (ICLR), 2022
Paris V. Giampouras
B. Haeffele
René Vidal
168
1
0
22 Jan 2022
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions
M. Rahmani
211
1
0
08 Jan 2022
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
M. Rahmani
Ping Li
239
6
0
23 Jun 2021
Modal Principal Component Analysis
Neural Computation (Neural Comput.), 2020
Keishi Sando
H. Hino
290
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0
07 Aug 2020
Novelty Detection via Robust Variational Autoencoding
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
AAML
DRL
394
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0
09 Jun 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
Qing Qu
Zhihui Zhu
Xiao Li
M. Tsakiris
John N. Wright
René Vidal
199
23
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20 Jan 2020
Outlier Detection and Data Clustering via Innovation Search
M. Rahmani
P. Li
264
3
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30 Dec 2019
Robust Group Synchronization via Cycle-Edge Message Passing
Foundations of Computational Mathematics (FoCM), 2019
Gilad Lerman
Yunpeng Shi
418
35
0
24 Dec 2019
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
Bowen Zhao
Xi Xiao
Wanpeng Zhang
Bin Zhang
Shutao Xia
174
6
0
13 Apr 2019
Robust Subspace Recovery with Adversarial Outliers
Tyler Maunu
Gilad Lerman
212
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05 Apr 2019
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
UQCV
363
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30 Mar 2019
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
Zhihui Zhu
Yifan Wang
Daniel P. Robinson
D. Naiman
René Vidal
M. Tsakiris
306
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0
24 Dec 2018
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm
V. Menon
Sheetal Kalyani
367
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11 Sep 2018
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach
M. Budninskiy
G. Yin
Leman Feng
Y. Tong
M. Desbrun
245
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23 Jun 2018
Fast, Parameter free Outlier Identification for Robust PCA
V. Menon
Sheetal Kalyani
267
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0
13 Apr 2018
An Overview of Robust Subspace Recovery
Proceedings of the IEEE (Proc. IEEE), 2018
Gilad Lerman
Tyler Maunu
357
143
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02 Mar 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review
Proceedings of the IEEE (Proc. IEEE), 2018
Namrata Vaswani
Praneeth Narayanamurthy
379
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01 Mar 2018
RANSAC Algorithms for Subspace Recovery and Subspace Clustering
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Jue Wang
277
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30 Nov 2017
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata Vaswani
T. Bouwmans
S. Javed
Praneeth Narayanamurthy
OOD
479
305
0
26 Nov 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Journal of machine learning research (JMLR), 2017
Tyler Maunu
Teng Zhang
Gilad Lerman
403
67
0
13 Jun 2017
Subspace Clustering via Optimal Direction Search
IEEE Signal Processing Letters (IEEE SPL), 2017
M. Rahmani
George Atia
379
13
0
12 Jun 2017
Distributed Robust Subspace Recovery
Vahan Huroyan
Gilad Lerman
339
3
0
25 May 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces
Chong You
Daniel P. Robinson
René Vidal
252
119
0
12 Apr 2017
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
313
27
0
20 Feb 2017
Online Robust Principal Component Analysis with Change Point Detection
IEEE transactions on multimedia (IEEE TMM), 2017
Wei Xiao
Xiaolin Huang
Jorge Silva
S. Emrani
A. Chaudhuri
289
31
0
19 Feb 2017
Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2017
M. Rahmani
George Atia
169
6
0
07 Feb 2017
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices
Xingguo Li
Jarvis Haupt
203
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07 Dec 2016
Subspace clustering based on low rank representation and weighted nuclear norm minimization
Yu Song
Yiquan Wu
231
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0
12 Oct 2016
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
M. Rahmani
George Atia
449
138
0
15 Sep 2016
Fast estimation of approximate matrix ranks using spectral densities
Neural Computation (Neural Comput.), 2016
Shashanka Ubaru
Y. Saad
A. Seghouane
247
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0
19 Aug 2016
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Haibin Zhang
Ankur Moitra
Alistair Stewart
503
547
0
21 Apr 2016
Innovation Pursuit: A New Approach to Subspace Clustering
M. Rahmani
George Atia
422
53
0
02 Dec 2015
Dual Principal Component Pursuit
M. Tsakiris
René Vidal
518
103
0
15 Oct 2015
Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
281
21
0
25 Jun 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
IEEE Transactions on Signal Processing (IEEE TSP), 2015
M. Rahmani
George Atia
373
58
0
21 May 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering
Jun He
Yue Zhang
238
8
0
12 Dec 2014
Relations among Some Low Rank Subspace Recovery Models
Neural Computation (Neural Comput.), 2014
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
Junbin Gao
207
30
0
06 Dec 2014
Robust Camera Location Estimation by Convex Programming
Computer Vision and Pattern Recognition (CVPR), 2014
Onur Özyesil
A. Singer
3DV
334
164
0
29 Nov 2014
Robust Orthogonal Complement Principal Component Analysis
Yiyuan She
Shijie Li
Dapeng Wu
392
31
0
05 Oct 2014
Fast, Robust and Non-convex Subspace Recovery
Gilad Lerman
Tyler Maunu
310
84
0
24 Jun 2014
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