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Median K-flats for hybrid linear modeling with many outliers

Median K-flats for hybrid linear modeling with many outliers

16 September 2009
Teng Zhang
Arthur Szlam
Gilad Lerman
ArXiv (abs)PDFHTML

Papers citing "Median K-flats for hybrid linear modeling with many outliers"

34 / 34 papers shown
Title
Computer Vision Approaches for Automated Bee Counting Application
Computer Vision Approaches for Automated Bee Counting Application
S. Bilik
Ilona Janáková
Adam Ligocki
Dominik Ficek
Karel Horak
53
0
0
13 Jun 2024
Enriched Robust Multi-View Kernel Subspace Clustering
Enriched Robust Multi-View Kernel Subspace Clustering
Mengyuan Zhang
Kai-Chun Liu
67
3
0
21 May 2022
PMSSC: Parallelizable multi-subset based self-expressive model for
  subspace clustering
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering
Katsuya Hotta
T. Akashi
Shogo Tokai
Chao Zhang
45
1
0
24 Nov 2021
Kernel Two-Dimensional Ridge Regression for Subspace Clustering
Kernel Two-Dimensional Ridge Regression for Subspace Clustering
Chong Peng
Qian Zhang
Zhao Kang
Chenglizhao Chen
Q. Cheng
53
35
0
03 Nov 2020
Constructing the F-Graph with a Symmetric Constraint for Subspace
  Clustering
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering
Kai Xu
Xiaojun Wu
Wen-Bo Hu
16
0
0
17 Dec 2019
Subspace clustering without knowing the number of clusters: A parameter
  free approach
Subspace clustering without knowing the number of clusters: A parameter free approach
V. Menon
Gokularam M
Sheetal Kalyani
41
14
0
10 Sep 2019
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For
  Image Data
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data
Maryam Abdolali
Mohammad Rahmati
44
13
0
17 May 2019
Robust subspace clustering by Cauchy loss function
Robust subspace clustering by Cauchy loss function
Xuelong Li
Quanmao Lu
Yongsheng Dong
Dacheng Tao
NoLa
66
67
0
28 Apr 2019
Robust Subspace Recovery with Adversarial Outliers
Robust Subspace Recovery with Adversarial Outliers
Tyler Maunu
Gilad Lerman
52
19
0
05 Apr 2019
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
UQCV
57
62
0
30 Mar 2019
Robust Subspace Clustering with Compressed Data
Robust Subspace Clustering with Compressed Data
Guangcan Liu
Zhao Zhang
Qingshan Liu
H. Xiong
59
48
0
30 Mar 2018
An Overview of Robust Subspace Recovery
An Overview of Robust Subspace Recovery
Gilad Lerman
Tyler Maunu
71
131
0
02 Mar 2018
Subspace Clustering using Ensembles of $K$-Subspaces
Subspace Clustering using Ensembles of KKK-Subspaces
J. Lipor
David Hong
Dejiao Zhang
Laura Balzano
70
25
0
14 Sep 2017
Sketched Subspace Clustering
Sketched Subspace Clustering
Panagiotis A. Traganitis
G. Giannakis
71
51
0
22 Jul 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Tyler Maunu
Teng Zhang
Gilad Lerman
66
63
0
13 Jun 2017
Subspace Clustering via Optimal Direction Search
Subspace Clustering via Optimal Direction Search
M. Rahmani
George Atia
61
13
0
12 Jun 2017
Hyperplane Clustering Via Dual Principal Component Pursuit
Hyperplane Clustering Via Dual Principal Component Pursuit
M. Tsakiris
René Vidal
83
31
0
06 Jun 2017
Provable Self-Representation Based Outlier Detection in a Union of
  Subspaces
Provable Self-Representation Based Outlier Detection in a Union of Subspaces
Chong You
Daniel P. Robinson
René Vidal
98
115
0
12 Apr 2017
Structured Sparse Subspace Clustering: A Joint Affinity Learning and
  Subspace Clustering Framework
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework
Chun-Guang Li
Chong You
René Vidal
56
201
0
17 Oct 2016
Innovation Pursuit: A New Approach to Subspace Clustering
Innovation Pursuit: A New Approach to Subspace Clustering
M. Rahmani
George Atia
106
52
0
02 Dec 2015
Fast, Robust and Non-convex Subspace Recovery
Fast, Robust and Non-convex Subspace Recovery
Gilad Lerman
Tyler Maunu
119
78
0
24 Jun 2014
RPCA-KFE: Key Frame Extraction for Consumer Video based Robust Principal Component Analysis
Chinh T. Dang
Abdolreza Moghadam
H. Radha
49
55
0
07 May 2014
Robust and Efficient Subspace Segmentation via Least Squares Regression
Robust and Efficient Subspace Segmentation via Least Squares Regression
Canyi Lu
Hai Min
Zhongming Zhao
Ling Zhu
De-Shuang Huang
Shuicheng Yan
70
666
0
27 Apr 2014
A New Approach To Two-View Motion Segmentation Using Global Dimension
  Minimization
A New Approach To Two-View Motion Segmentation Using Global Dimension Minimization
Bryan Poling
Gilad Lerman
3DV
77
29
0
10 Apr 2013
Robust subspace clustering
Robust subspace clustering
Mahdi Soltanolkotabi
Ehsan Elhamifar
Emmanuel J. Candès
149
366
0
11 Jan 2013
Tangent-based manifold approximation with locally linear models
Tangent-based manifold approximation with locally linear models
Sofia Karygianni
P. Frossard
90
29
0
06 Nov 2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar
René Vidal
165
2,335
0
05 Mar 2012
Robust computation of linear models by convex relaxation
Robust computation of linear models by convex relaxation
Gilad Lerman
Michael B. McCoy
J. Tropp
Teng Zhang
172
161
0
18 Feb 2012
A Novel M-Estimator for Robust PCA
A Novel M-Estimator for Robust PCA
Teng Zhang
Gilad Lerman
113
133
0
20 Dec 2011
A geometric analysis of subspace clustering with outliers
A geometric analysis of subspace clustering with outliers
Mahdi Soltanolkotabi
Emmanuel J. Candés
155
416
0
19 Dec 2011
Robust recovery of multiple subspaces by geometric l_p minimization
Robust recovery of multiple subspaces by geometric l_p minimization
Gilad Lerman
Teng Zhang
121
86
0
19 Apr 2011
Hybrid Linear Modeling via Local Best-fit Flats
Hybrid Linear Modeling via Local Best-fit Flats
Teng Zhang
Arthur Szlam
Yi Wang
Gilad Lerman
150
204
0
17 Oct 2010
Robust Recovery of Subspace Structures by Low-Rank Representation
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu
Zhouchen Lin
Shuicheng Yan
Ju Sun
Yong Yu
Yi-An Ma
161
3,229
0
14 Oct 2010
Randomized hybrid linear modeling by local best-fit flats
Randomized hybrid linear modeling by local best-fit flats
Teng Zhang
Arthur Szlam
Yi Wang
Gilad Lerman
128
47
0
05 May 2010
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