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Sparse Subspace Clustering: Algorithm, Theory, and Applications

Sparse Subspace Clustering: Algorithm, Theory, and Applications

5 March 2012
Ehsan Elhamifar
René Vidal
ArXivPDFHTML

Papers citing "Sparse Subspace Clustering: Algorithm, Theory, and Applications"

50 / 468 papers shown
Title
Learning with $\ell^{0}$-Graph: $\ell^{0}$-Induced Sparse Subspace
  Clustering
Learning with ℓ0\ell^{0}ℓ0-Graph: ℓ0\ell^{0}ℓ0-Induced Sparse Subspace Clustering
Yingzhen Yang
Jiashi Feng
Jianchao Yang
Thomas S. Huang
8
0
0
28 Oct 2015
Fast Landmark Subspace Clustering
Fast Landmark Subspace Clustering
Xu Wang
Gilad Lerman
17
1
0
28 Oct 2015
Filtrated Spectral Algebraic Subspace Clustering
Filtrated Spectral Algebraic Subspace Clustering
M. Tsakiris
René Vidal
16
12
0
15 Oct 2015
Dual Principal Component Pursuit
Dual Principal Component Pursuit
M. Tsakiris
René Vidal
26
96
0
15 Oct 2015
Large-scale subspace clustering using sketching and validation
Large-scale subspace clustering using sketching and validation
Panagiotis A. Traganitis
Konstantinos Slavakis
G. Giannakis
14
3
0
06 Oct 2015
Zero-Shot Learning via Semantic Similarity Embedding
Zero-Shot Learning via Semantic Similarity Embedding
Ziming Zhang
Venkatesh Saligrama
11
615
0
15 Sep 2015
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace
  Clustering with Corrupted and Incomplete Data
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data
Pan Ji
Mathieu Salzmann
Hongdong Li
13
74
0
09 Sep 2015
Unsupervised Cross-Domain Recognition by Identifying Compact Joint
  Subspaces
Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces
Yuewei Lin
Jintai Chen
Yu Cao
Youjie Zhou
Lingfeng Zhang
Yuan Yan Tang
Song Wang
9
2
0
05 Sep 2015
Low Rank Representation on Riemannian Manifold of Square Root Densities
Low Rank Representation on Riemannian Manifold of Square Root Densities
Yifan Fu
Junbin Gao
X. Hong
D. Tien
6
3
0
18 Aug 2015
Action Recognition based on Subdivision-Fusion Model
Action Recognition based on Subdivision-Fusion Model
Hao Zong-bo
Lu Linlin
Zhang Qian-ni
Wu Jie
Izquierdo Ebroul
Yang Juanyu
Zhao Jun
4
0
0
18 Aug 2015
Mismatch in the Classification of Linear Subspaces: Sufficient
  Conditions for Reliable Classification
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification
Jure Sokolić
F. Renna
Robert Calderbank
M. Rodrigues
21
4
0
07 Aug 2015
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
21
109
0
29 Jul 2015
Dimensionality-reduced subspace clustering
Dimensionality-reduced subspace clustering
Reinhard Heckel
Michael Tschannen
Helmut Bölcskei
29
32
0
25 Jul 2015
Subspace-Sparse Representation
Subspace-Sparse Representation
Chong You
René Vidal
29
6
0
06 Jul 2015
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You
Daniel P. Robinson
René Vidal
29
345
0
05 Jul 2015
LogDet Rank Minimization with Application to Subspace Clustering
LogDet Rank Minimization with Application to Subspace Clustering
Zhao Kang
Chong Peng
Jie Cheng
Q. Cheng
22
46
0
03 Jul 2015
Spectral Collaborative Representation based Classification for Hand
  Gestures recognition on Electromyography Signals
Spectral Collaborative Representation based Classification for Hand Gestures recognition on Electromyography Signals
Ali Boyali
18
54
0
26 Jun 2015
Filtrated Algebraic Subspace Clustering
Filtrated Algebraic Subspace Clustering
M. Tsakiris
René Vidal
24
25
0
20 Jun 2015
Paradigm Shift in Continuous Signal Pattern Classification: Mobile Ride
  Assistance System for two-wheeled Mobility Robots
Paradigm Shift in Continuous Signal Pattern Classification: Mobile Ride Assistance System for two-wheeled Mobility Robots
Ali Boyali
N. Hashimoto
O. Matsumoto
29
1
0
16 Jun 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
M. Rahmani
George Atia
30
57
0
21 May 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
43
187
0
30 Apr 2015
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective
Boyue Wang
Yongli Hu
Junbin Gao
Yanfeng Sun
Baocai Yin
31
58
0
08 Apr 2015
Kernelized Low Rank Representation on Grassmann Manifolds
Kernelized Low Rank Representation on Grassmann Manifolds
Boyue Wang
Yongli Hu
Junbin Gao
Yanfeng Sun
Baocai Yin
28
8
0
08 Apr 2015
Graph Connectivity in Noisy Sparse Subspace Clustering
Graph Connectivity in Noisy Sparse Subspace Clustering
Yining Wang
Yu-Xiang Wang
Aarti Singh
40
9
0
04 Apr 2015
RankMap: A Platform-Aware Framework for Distributed Learning from Dense
  Datasets
RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets
Azalia Mirhoseini
Eva L. Dyer
Ebrahim M. Songhori
Richard G. Baraniuk
F. Koushanfar
14
1
0
27 Mar 2015
Community Detection and Classification in Hierarchical Stochastic
  Blockmodels
Community Detection and Classification in Hierarchical Stochastic Blockmodels
V. Lyzinski
M. Tang
A. Athreya
Youngser Park
Carey E. Priebe
42
148
0
07 Mar 2015
Connections Between Nuclear Norm and Frobenius Norm Based
  Representations
Connections Between Nuclear Norm and Frobenius Norm Based Representations
Xi Peng
Canyi Lu
Zhang Yi
Huajin Tang
30
160
0
26 Feb 2015
Sparse Representation Classification Beyond L1 Minimization and the
  Subspace Assumption
Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption
Cencheng Shen
Li-Wei Chen
Yuexiao Dong
Carey E. Priebe
BDL
35
9
0
04 Feb 2015
Correlation Adaptive Subspace Segmentation by Trace Lasso
Correlation Adaptive Subspace Segmentation by Trace Lasso
Canyi Lu
Jiashi Feng
Zhouchen Lin
Shuicheng Yan
22
201
0
18 Jan 2015
Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained
  $\ell_1$-Minimization
Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained ℓ1\ell_1ℓ1​-Minimization
Ehsan Elhamifar
Mahdi Soltanolkotabi
S. Shankar Sastry
40
3
0
23 Dec 2014
Clustering multi-way data: a novel algebraic approach
Clustering multi-way data: a novel algebraic approach
Eric Kernfeld
Shuchin Aeron
M. Kilmer
23
35
0
22 Dec 2014
Learning the nonlinear geometry of high-dimensional data: Models and
  algorithms
Learning the nonlinear geometry of high-dimensional data: Models and algorithms
Tong Wu
W. Bajwa
24
19
0
21 Dec 2014
Representing Data by a Mixture of Activated Simplices
Representing Data by a Mixture of Activated Simplices
Chunyu Wang
John Flynn
Yizhou Wang
Alan Yuille
22
2
0
12 Dec 2014
Cross-Modal Learning via Pairwise Constraints
Cross-Modal Learning via Pairwise Constraints
Ran He
Man Zhang
Liang Wang
Ye Ji
Qiyue Yin
16
60
0
28 Nov 2014
Automatic Subspace Learning via Principal Coefficients Embedding
Automatic Subspace Learning via Principal Coefficients Embedding
Xi Peng
Jiwen Lu
Zhang Yi
Rui Yan
23
85
0
17 Nov 2014
Greedy Subspace Clustering
Greedy Subspace Clustering
Dohyung Park
C. Caramanis
Sujay Sanghavi
24
99
0
31 Oct 2014
Symmetric low-rank representation for subspace clustering
Symmetric low-rank representation for subspace clustering
Jie Chen
Haixian Zhang
Hua Mao
Yongsheng Sang
Zhang Yi
18
28
0
31 Oct 2014
Hierarchical Sparse and Collaborative Low-Rank Representation for
  Emotion Recognition
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition
Xiang Xiang
Minh Dao
Gregory Hager
T. Tran
CVBM
32
7
0
07 Oct 2014
Riemannian Multi-Manifold Modeling
Riemannian Multi-Manifold Modeling
Xu Wang
Konstantinos Slavakis
Gilad Lerman
32
19
0
01 Oct 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
98
43,416
0
17 Sep 2014
Structured Dictionary Learning for Classification
Structured Dictionary Learning for Classification
Yuanming Suo
Minh Dao
U. Srinivas
V. Monga
T. Tran
36
29
0
08 Jun 2014
Better Feature Tracking Through Subspace Constraints
Better Feature Tracking Through Subspace Constraints
Bryan Poling
Gilad Lerman
Arthur Szlam
34
13
0
09 May 2014
A Bi-clustering Framework for Consensus Problems
A Bi-clustering Framework for Consensus Problems
Mariano Tepper
Guillermo Sapiro
35
15
0
30 Apr 2014
Subspace clustering of dimensionality-reduced data
Subspace clustering of dimensionality-reduced data
Reinhard Heckel
Michael Tschannen
Helmut Bölcskei
27
22
0
27 Apr 2014
Robust Subspace Recovery via Bi-Sparsity Pursuit
Robust Subspace Recovery via Bi-Sparsity Pursuit
Xiao Bian
Hamid Krim
33
6
0
31 Mar 2014
Spectral Sparse Representation for Clustering: Evolved from PCA,
  K-means, Laplacian Eigenmap, and Ratio Cut
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Zhenfang Hu
Gang Pan
Yueming Wang
Zhaohui Wu
25
3
0
25 Mar 2014
Neighborhood Selection for Thresholding-based Subspace Clustering
Neighborhood Selection for Thresholding-based Subspace Clustering
Reinhard Heckel
E. Agustsson
Helmut Bölcskei
38
10
0
13 Mar 2014
Subspace clustering using a symmetric low-rank representation
Subspace clustering using a symmetric low-rank representation
Jie Chen
Hua Mao
Yongsheng Sang
Zhang Yi
24
40
0
07 Mar 2014
Extrinsic Methods for Coding and Dictionary Learning on Grassmann
  Manifolds
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
Mehrtash Harandi
Richard I. Hartley
Chunhua Shen
Brian C. Lovell
Conrad Sanderson
24
93
0
31 Jan 2014
Learning Transformations for Classification Forests
Learning Transformations for Classification Forests
Qiang Qiu
Guillermo Sapiro
31
13
0
19 Dec 2013
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