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Generalized Principal Component Analysis (GPCA)

Generalized Principal Component Analysis (GPCA)

17 February 2012
René Vidal
Yi-An Ma
S. Shankar Sastry
ArXiv (abs)PDFHTML

Papers citing "Generalized Principal Component Analysis (GPCA)"

50 / 191 papers shown
Title
Point Spread Function Modelling for Wide Field Small Aperture Telescopes
  with a Denoising Autoencoder
Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder
P. Jia
Xiyu Li
Zhengyang Li
Weinan Wang
Dongmei Cai
30
21
0
31 Jan 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Hai Zhang
Xiao Guo
Xiangyu Chang
106
24
0
20 Jan 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
Learning Mixtures of Linear Regressions in Subexponential Time via
  Fourier Moments
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
Sitan Chen
Jingkai Li
Zhao Song
80
39
0
16 Dec 2019
Multilayer Collaborative Low-Rank Coding Network for Robust Deep
  Subspace Discovery
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
Xianzhen Li
Zhao Zhang
Yang Wang
Guangcan Liu
Shuicheng Yan
Meng Wang
51
8
0
13 Dec 2019
Gradient Boosts the Approximate Vanishing Ideal
Gradient Boosts the Approximate Vanishing Ideal
Hiroshi Kera
Yoshihiko Hasegawa
149
11
0
11 Nov 2019
Sparse Coding on Cascaded Residuals
Sparse Coding on Cascaded Residuals
Tong Zhang
Fatih Porikli
11
2
0
07 Nov 2019
Compressive Learning for Semi-Parametric Models
Compressive Learning for Semi-Parametric Models
Michael P. Sheehan
Antoine Gonon
Mike E. Davies
SSL
51
5
0
22 Oct 2019
Sparse Popularity Adjusted Stochastic Block Model
Sparse Popularity Adjusted Stochastic Block Model
M. Noroozi
Marianna Pensky
R. Rimal
55
8
0
03 Oct 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
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models
Xun Xu
L. Cheong
Zhuwen Li
67
33
0
16 Aug 2019
Theory of Spectral Method for Union of Subspaces-Based Random Geometry
  Graph
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li
Yuantao Gu
68
3
0
25 Jul 2019
Motion Segmentation Using Locally Affine Atom Voting
Motion Segmentation Using Locally Affine Atom Voting
Erez Posner
R. Hagege
16
0
0
13 Jul 2019
Minimal Sample Subspace Learning: Theory and Algorithms
Minimal Sample Subspace Learning: Theory and Algorithms
Zhenyue Zhang
Yuqing Xia
58
2
0
13 Jul 2019
Multi-reference factor analysis: low-rank covariance estimation under
  unknown translations
Multi-reference factor analysis: low-rank covariance estimation under unknown translations
Boris Landa
Y. Shkolnisky
41
3
0
01 Jun 2019
Robust Motion Segmentation from Pairwise Matches
Robust Motion Segmentation from Pairwise Matches
F. Arrigoni
Tomas Pajdla
3DV
34
11
0
22 May 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
Locality and Structure Regularized Low Rank Representation for
  Hyperspectral Image Classification
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Qi. Wang
Xiang He
Xuelong Li
127
199
0
07 May 2019
Three-Stage Subspace Clustering Framework with Graph-Based
  Transformation and Optimization
Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization
Shuai Yang
Wenqi Zhu
Yuesheng Zhu
23
0
0
02 May 2019
Self-Supervised Convolutional Subspace Clustering Network
Self-Supervised Convolutional Subspace Clustering Network
Junjian Zhang
Chun-Guang Li
Chong You
Xianbiao Qi
Honggang Zhang
Jun Guo
Zhouchen Lin
SSL
91
145
0
01 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
Learning for Multi-Type Subspace Clustering
Learning for Multi-Type Subspace Clustering
Xun Xu
L. Cheong
Zhuwen Li
32
0
0
03 Apr 2019
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event
  Cameras
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
A. Mitrokhin
Chengxi Ye
Cornelia Fermuller
Yiannis Aloimonos
T. Delbruck
MDE3DPC
67
99
0
18 Mar 2019
A Review, Framework and R toolkit for Exploring, Evaluating, and
  Comparing Visualizations
A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations
Stephen L. France
Ulas Akkucuk
19
2
0
22 Feb 2019
Estimation and Clustering in Popularity Adjusted Stochastic Block Model
Estimation and Clustering in Popularity Adjusted Stochastic Block Model
M. Noroozi
R. Rimal
Marianna Pensky
81
3
0
01 Feb 2019
Learning for Multi-Model and Multi-Type Fitting
Learning for Multi-Model and Multi-Type Fitting
Xun Xu
L. Cheong
Zhuwen Li
50
5
0
29 Jan 2019
Subspace Clustering of Very Sparse High-Dimensional Data
Subspace Clustering of Very Sparse High-Dimensional Data
Hankui Peng
N. Pavlidis
I. Eckley
Ioannis Tsalamanis
31
6
0
25 Jan 2019
Spurious Vanishing Problem in Approximate Vanishing Ideal
Spurious Vanishing Problem in Approximate Vanishing Ideal
Hiroshi Kera
Yoshihiko Hasegawa
49
12
0
25 Jan 2019
Multiple Manifold Clustering Using Curvature Constrained Path
Multiple Manifold Clustering Using Curvature Constrained Path
A. Babaeian
42
10
0
04 Dec 2018
Subspace Clustering through Sub-Clusters
Subspace Clustering through Sub-Clusters
Weiwei Li
Jan Hannig
S. Mukherjee
37
5
0
15 Nov 2018
Scalable Bottom-up Subspace Clustering using FP-Trees for High
  Dimensional Data
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data
M. Doan
Ashkan Rezaei
Sutharshan Rajasegarar
C. Leckie
21
2
0
07 Nov 2018
Topological Inference of Manifolds with Boundary
Topological Inference of Manifolds with Boundary
Yansen Wang
Bei Wang
32
8
0
12 Oct 2018
On Geometric Analysis of Affine Sparse Subspace Clustering
On Geometric Analysis of Affine Sparse Subspace Clustering
Chun-Guang Li
Chong You
René Vidal
70
32
0
17 Aug 2018
Subspace Clustering by Block Diagonal Representation
Subspace Clustering by Block Diagonal Representation
Canyi Lu
Jiashi Feng
Zhouchen Lin
Tao Mei
Shuicheng Yan
66
361
0
23 May 2018
Constrained Sparse Subspace Clustering with Side-Information
Constrained Sparse Subspace Clustering with Side-Information
Chun-Guang Li
Junjian Zhang
Jun Guo
56
8
0
21 May 2018
Tensor Methods for Nonlinear Matrix Completion
Tensor Methods for Nonlinear Matrix Completion
Greg Ongie
Daniel L. Pimentel-Alarcón
Laura Balzano
Rebecca Willett
Robert D. Nowak
112
16
0
26 Apr 2018
Motion Segmentation by Exploiting Complementary Geometric Models
Motion Segmentation by Exploiting Complementary Geometric Models
Xun Xu
L. Cheong
Zhuwen Li
41
38
0
06 Apr 2018
Fast Subspace Clustering Based on the Kronecker Product
Fast Subspace Clustering Based on the Kronecker Product
Lei Zhou
Xiao Bai
Xianglong Liu
Jun Zhou
Edwin R. Hancock
18
2
0
15 Mar 2018
Principal Component Analysis with Tensor Train Subspace
Principal Component Analysis with Tensor Train Subspace
Wenqi Wang
Vaneet Aggarwal
Shuchin Aeron
33
20
0
13 Mar 2018
Scalable and Robust Sparse Subspace Clustering Using Randomized
  Clustering and Multilayer Graphs
Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs
Maryam Abdolali
Nicolas Gillis
Mohammad Rahmati
51
31
0
21 Feb 2018
Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained
  Matrix Factorization
Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained Matrix Factorization
Binghui Wang
Chuang Lin
32
0
0
27 Jan 2018
A Novel Hybrid Biometric Electronic Voting System: Integrating Finger
  Print and Face Recognition
A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition
S. N. Syed
A. Shaikh
Shabbar Naqvi
25
16
0
05 Jan 2018
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
M. Tsakiris
René Vidal
122
31
0
01 Jan 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for
  Deep Learning
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
José Lezama
Qiang Qiu
Pablo Musé
Guillermo Sapiro
79
78
0
05 Dec 2017
RANSAC Algorithms for Subspace Recovery and Subspace Clustering
RANSAC Algorithms for Subspace Recovery and Subspace Clustering
E. Arias-Castro
Jue Wang
65
10
0
30 Nov 2017
CUR Decompositions, Similarity Matrices, and Subspace Clustering
CUR Decompositions, Similarity Matrices, and Subspace Clustering
Akram Aldroubi
Keaton Hamm
A. Koku
A. Sekmen
137
32
0
11 Nov 2017
Deep Sparse Subspace Clustering
Deep Sparse Subspace Clustering
Xi Peng
Jiashi Feng
Shijie Xiao
Jiwen Lu
Zhang Yi
Shuicheng Yan
58
22
0
25 Sep 2017
Monocular Navigation in Large Scale Dynamic Environments
Monocular Navigation in Large Scale Dynamic Environments
Darius Burschka
3DV
51
1
0
07 Sep 2017
Subspace Segmentation by Successive Approximations: A Method for
  Low-Rank and High-Rank Data with Missing Entries
Subspace Segmentation by Successive Approximations: A Method for Low-Rank and High-Rank Data with Missing Entries
João Carvalho
Manuel Marques
João Paulo Costeira
28
1
0
05 Sep 2017
Inhomogeneous Hypergraph Clustering with Applications
Inhomogeneous Hypergraph Clustering with Applications
Pan Li
O. Milenkovic
86
161
0
05 Sep 2017
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