Robust computation of linear models by convex relaxation

18 February 2012

Papers citing "Robust computation of linear models by convex relaxation"

27 / 27 papers shown

Title
T-Rex: Fitting a Robust Factor Model via Expectation-Maximization Daniel Cederberg 22 0 0 17 May 2025
Connective Reconstruction-based Novelty Detection Seyyed Morteza Hashemi Parvaneh Aliniya Parvin Razzaghi OODD 22 0 0 25 Oct 2022
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search M. Rahmani Ping Li 24 4 0 23 Jun 2021
Modal Principal Component Analysis Keishi Sando H. Hino 29 16 0 07 Aug 2020
G2D: Generate to Detect Anomaly M. PourReza Bahram Mohammadi Mostafa Khaki Samir Bouindour H. Snoussi Mohammad Sabokrou 16 60 0 20 Jun 2020
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning Shixiang Chen Zengde Deng Shiqian Ma Anthony Man-Cho So 30 28 0 05 May 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm M. Zaheer Jin-ha Lee Marcella Astrid Seung-Ik Lee AAML 27 221 0 16 Apr 2020
Fair Principal Component Analysis and Filter Design Gad Zalcberg A. Wiesel 20 13 0 16 Feb 2020
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning M. Fornasier Hui Huang L. Pareschi Philippe Sünnen 29 68 0 31 Jan 2020
Outlier Detection and Data Clustering via Innovation Search M. Rahmani P. Li 34 3 0 30 Dec 2019
Robust Group Synchronization via Cycle-Edge Message Passing Gilad Lerman Yunpeng Shi 25 30 0 24 Dec 2019
An Overview of Robust Subspace Recovery Gilad Lerman Tyler Maunu 28 130 0 02 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 18 685 0 25 Feb 2018
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery Namrata Vaswani T. Bouwmans S. Javed Praneeth Narayanamurthy OOD 35 273 0 26 Nov 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery Tyler Maunu Teng Zhang Gilad Lerman 24 63 0 13 Jun 2017
Hyperplane Clustering Via Dual Principal Component Pursuit M. Tsakiris René Vidal 27 31 0 06 Jun 2017
Subspace Learning in The Presence of Sparse Structured Outliers and Noise Shervin Minaee Yao Wang 32 6 0 14 Mar 2017
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis M. Rahmani George Atia 35 134 0 15 Sep 2016
Innovation Pursuit: A New Approach to Subspace Clustering M. Rahmani George Atia 45 52 0 02 Dec 2015
Dual Principal Component Pursuit M. Tsakiris René Vidal 26 96 0 15 Oct 2015
A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints Nicolas Boumal 27 67 0 01 Jun 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices M. Rahmani George Atia 30 57 0 21 May 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering Jun He Yue Zhang 35 8 0 12 Dec 2014
Relations among Some Low Rank Subspace Recovery Models Hongyang R. Zhang Zhouchen Lin Chao Zhang Junbin Gao 35 29 0 06 Dec 2014
Fast, Robust and Non-convex Subspace Recovery Gilad Lerman Tyler Maunu 41 77 0 24 Jun 2014
Robust Subspace Clustering via Thresholding Reinhard Heckel Helmut Bölcskei 55 155 0 18 Jul 2013
Robust subspace recovery by Tyler's M-estimator Teng Zhang 59 28 0 07 Jun 2012