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A Novel M-Estimator for Robust PCA

20 December 2011

Papers citing "A Novel M-Estimator for Robust PCA"

48 / 48 papers shown

Title
Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection Aidan Tiruvan 50 0 0 03 Apr 2025
Nested subspace learning with flags Tom Szwagier Xavier Pennec 106 1 0 09 Feb 2025
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion Feng Yu Teng Zhang Gilad Lerman 61 3 0 17 Apr 2024
Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator Gilad Lerman Feng Yu Teng Zhang 36 1 0 27 Mar 2024
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions Nora Ouzir Frédéric Pascal J. Pesquet 25 1 0 12 Dec 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 92 0 0 25 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 90 13 0 02 Sep 2023
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator L. Danon Dan Garber 51 4 0 19 Jun 2022
Stochastic and Private Nonconvex Outlier-Robust PCA Tyler Maunu Chenyun Yu Gilad Lerman 120 3 0 17 Mar 2022
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension Paris V. Giampouras B. Haeffele René Vidal 30 1 0 22 Jan 2022
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions M. Rahmani 64 1 0 08 Jan 2022
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search M. Rahmani Ping Li 46 5 0 23 Jun 2021
Modal Principal Component Analysis Keishi Sando H. Hino 60 16 0 07 Aug 2020
Novelty Detection via Robust Variational Autoencoding Chieh-Hsin Lai Dongmian Zou Gilad Lerman AAML DRL 68 6 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 56 20 0 20 Jan 2020
Outlier Detection and Data Clustering via Innovation Search M. Rahmani P. Li 73 3 0 30 Dec 2019
Robust Group Synchronization via Cycle-Edge Message Passing Gilad Lerman Yunpeng Shi 87 31 0 24 Dec 2019
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers Bowen Zhao Xi Xiao Wanpeng Zhang Bin Zhang Shutao Xia 27 4 0 13 Apr 2019
Robust Subspace Recovery with Adversarial Outliers Tyler Maunu Gilad Lerman 60 19 0 05 Apr 2019
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection Chieh-Hsin Lai Dongmian Zou Gilad Lerman UQCV 64 62 0 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 46 4 0 24 Dec 2018
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm V. Menon Sheetal Kalyani 51 16 0 11 Sep 2018
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach M. Budninskiy G. Yin Leman Feng Y. Tong M. Desbrun 51 20 0 23 Jun 2018
Fast, Parameter free Outlier Identification for Robust PCA V. Menon Sheetal Kalyani 66 2 0 13 Apr 2018
An Overview of Robust Subspace Recovery Gilad Lerman Tyler Maunu 84 131 0 02 Mar 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review Namrata Vaswani Praneeth Narayanamurthy 80 74 0 01 Mar 2018
RANSAC Algorithms for Subspace Recovery and Subspace Clustering E. Arias-Castro Jue Wang 70 10 0 30 Nov 2017
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery Namrata Vaswani T. Bouwmans S. Javed Praneeth Narayanamurthy OOD 96 278 0 26 Nov 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery Tyler Maunu Teng Zhang Gilad Lerman 75 63 0 13 Jun 2017
Subspace Clustering via Optimal Direction Search M. Rahmani George Atia 75 13 0 12 Jun 2017
Distributed Robust Subspace Recovery Vahan Huroyan Gilad Lerman 15 2 0 25 May 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces Chong You Daniel P. Robinson René Vidal 98 115 0 12 Apr 2017
Robust Sparse Estimation Tasks in High Dimensions Jerry Li 111 27 0 20 Feb 2017
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis M. Rahmani George Atia 101 135 0 15 Sep 2016
Fast estimation of approximate matrix ranks using spectral densities Shashanka Ubaru Y. Saad A. Seghouane 45 23 0 19 Aug 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 102 513 0 21 Apr 2016
Innovation Pursuit: A New Approach to Subspace Clustering M. Rahmani George Atia 106 52 0 02 Dec 2015
Dual Principal Component Pursuit M. Tsakiris René Vidal 134 98 0 15 Oct 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices M. Rahmani George Atia 86 57 0 21 May 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering Jun He Yue Zhang 57 8 0 12 Dec 2014
Relations among Some Low Rank Subspace Recovery Models Hongyang R. Zhang Zhouchen Lin Chao Zhang Junbin Gao 82 29 0 06 Dec 2014
Robust Camera Location Estimation by Convex Programming Onur Özyesil A. Singer 3DV 87 150 0 29 Nov 2014
Robust Orthogonal Complement Principal Component Analysis Yiyuan She Shijie Li Dapeng Wu 96 25 0 05 Oct 2014
Fast, Robust and Non-convex Subspace Recovery Gilad Lerman Tyler Maunu 119 78 0 24 Jun 2014
Geometric median and robust estimation in Banach spaces Stanislav Minsker 208 312 0 06 Aug 2013
Algorithms and Hardness for Robust Subspace Recovery Moritz Hardt Ankur Moitra OOD 128 116 0 05 Nov 2012
Robust subspace recovery by Tyler's M-estimator Teng Zhang 142 28 0 07 Jun 2012
Robust computation of linear models by convex relaxation Gilad Lerman Michael B. McCoy J. Tropp Teng Zhang 175 161 0 18 Feb 2012