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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
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly
  Localization
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
Katsuya Hotta
Chao Zhang
Yoshihiro Hagihara
T. Akashi
27
2
0
25 Sep 2023
Motion Segmentation from a Moving Monocular Camera
Motion Segmentation from a Moving Monocular Camera
Yuxiang Huang
John S. Zelek
VOS
31
5
0
24 Sep 2023
TCGF: A unified tensorized consensus graph framework for multi-view
  representation learning
TCGF: A unified tensorized consensus graph framework for multi-view representation learning
Xiangzhu Meng
Wei Wei
Qiang Liu
Shu Wu
Liang Wang
18
0
0
14 Sep 2023
Robust Data Clustering with Outliers via Transformed Tensor Low-Rank
  Representation
Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
Tong Wu
34
0
0
18 Jul 2023
Generalized Time Warping Invariant Dictionary Learning for Time Series
  Classification and Clustering
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering
Ruiyu Xu
Chaoya Wang
Yongxiang Li
Jianguo Wu
AI4TS
18
1
0
30 Jun 2023
Deep Double Self-Expressive Subspace Clustering
Deep Double Self-Expressive Subspace Clustering
Ling Zhao
Yunpeng Ma
Shanxiong Chen
Jun Zhou
SSL
24
4
0
20 Jun 2023
Image Clustering via the Principle of Rate Reduction in the Age of
  Pretrained Models
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu
Shengbang Tong
Tianjiao Ding
Xili Dai
B. Haeffele
René Vidal
Yi Ma
SSL
VLM
28
13
0
08 Jun 2023
Multi-view MERA Subspace Clustering
Multi-view MERA Subspace Clustering
Zhen Long
Ce Zhu
Jing Chen
Zihan Li
Ya-Zhou Ren
Yipeng Liu
40
15
0
16 May 2023
Learning Structure Aware Deep Spectral Embedding
Learning Structure Aware Deep Spectral Embedding
Hira Yaseen
Arif Mahmood
28
4
0
14 May 2023
One-step Bipartite Graph Cut: A Normalized Formulation and Its
  Application to Scalable Subspace Clustering
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering
Siwei Fang
Dong Huang
Changdong Wang
Jian-Huang Lai
24
0
0
12 May 2023
Deep Multi-View Subspace Clustering with Anchor Graph
Deep Multi-View Subspace Clustering with Anchor Graph
Chenhang Cui
Yazhou Ren
Jingyu Pu
X. Pu
Lifang He
23
33
0
11 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
58
66
0
10 May 2023
Adaptive Graph Convolutional Subspace Clustering
Adaptive Graph Convolutional Subspace Clustering
Lai Wei
Zhengwei Chen
Jun Yin
Changming Zhu
Rigui Zhou
Jin Liu
31
11
0
05 May 2023
High-dimensional multi-view clustering methods
High-dimensional multi-view clustering methods
Alaeddine Zahir
K. Jbilou
A. Ratnani
26
0
0
14 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Yingcong Li
Samet Oymak
MoE
29
4
0
08 Mar 2023
A parameter-free graph reduction for spectral clustering and SpectralNet
A parameter-free graph reduction for spectral clustering and SpectralNet
Mashaan Alshammari
J. Stavrakakis
M. Takatsuka
36
7
0
25 Feb 2023
Multi-dimensional concept discovery (MCD): A unifying framework with
  completeness guarantees
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
27
37
0
27 Jan 2023
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image
  Retrieval
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval
Yuchen Wu
Kun Song
Fangzheng Zhao
Jiansheng Chen
Huimin Ma
VLM
21
2
0
17 Jan 2023
Unsupervised Manifold Linearizing and Clustering
Unsupervised Manifold Linearizing and Clustering
Tianjiao Ding
Shengbang Tong
Kwan Ho Ryan Chan
Xili Dai
Yi Ma
B. Haeffele
30
11
0
04 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial
  Mixture Approach
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
NoLa
42
0
0
04 Jan 2023
Variable Clustering via Distributionally Robust Nodewise Regression
Variable Clustering via Distributionally Robust Nodewise Regression
Kaizheng Wang
Xiao Xu
X. Zhou
OOD
31
2
0
15 Dec 2022
Subspace-Contrastive Multi-View Clustering
Subspace-Contrastive Multi-View Clustering
Lele Fu
Lei Zhang
Jinghua Yang
Sheng Huang
Chuanfu Zhang
Chuan Chen
28
6
0
13 Oct 2022
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change
  Detection
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection
Shizhen Chang
Michael K Kopp
Pedram Ghamisi
40
8
0
09 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
43
101
0
09 Oct 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction
  of Epigenetic Events
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events
Mohammad Shiri
Jiangwen Sun
20
1
0
24 Sep 2022
Semi-Supervised Clustering via Dynamic Graph Structure Learning
Semi-Supervised Clustering via Dynamic Graph Structure Learning
Huaming Ling
Chenglong Bao
Xin Liang
Zuoqiang Shi
13
1
0
06 Sep 2022
Sparse Optimization for Unsupervised Extractive Summarization of Long
  Documents with the Frank-Wolfe Algorithm
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
Alicia Y. Tsai
Laurent El Ghaoui
11
1
0
19 Aug 2022
Image Quality Assessment: Integrating Model-Centric and Data-Centric
  Approaches
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Peibei Cao
Dingquan Li
Kede Ma
30
6
0
29 Jul 2022
Learning idempotent representation for subspace clustering
Learning idempotent representation for subspace clustering
Lai Wei
Shiteng Liu
Rigui Zhou
Changming Zhu
18
4
0
29 Jul 2022
Towards Understanding The Semidefinite Relaxations of Truncated
  Least-Squares in Robust Rotation Search
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search
Liangzu Peng
Mahyar Fazlyab
René Vidal
34
2
0
18 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains
Gradual Domain Adaptation without Indexed Intermediate Domains
Hong-You Chen
Wei-Lun Chao
CLL
57
40
0
11 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data
Verifying the Union of Manifolds Hypothesis for Image Data
Bradley Brown
Anthony L. Caterini
Brendan Leigh Ross
Jesse C. Cresswell
G. Loaiza-Ganem
44
39
0
06 Jul 2022
Noisy $\ell^{0}$-Sparse Subspace Clustering on Dimensionality Reduced
  Data
Noisy ℓ0\ell^{0}ℓ0-Sparse Subspace Clustering on Dimensionality Reduced Data
Yingzhen Yang
Ping Li
15
2
0
22 Jun 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for
  Subspace Clustering
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Peng Wang
Huikang Liu
Anthony Man-Cho So
Laura Balzano
29
9
0
11 Jun 2022
Self-Supervised Deep Subspace Clustering with Entropy-norm
Self-Supervised Deep Subspace Clustering with Entropy-norm
G. Zhao
Simin Kou
Xuesong Yin
25
1
0
10 Jun 2022
Unsupervised Deep Discriminant Analysis Based Clustering
Unsupervised Deep Discriminant Analysis Based Clustering
Jinyu Cai
Wenzhong Guo
Jicong Fan
31
5
0
09 Jun 2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable
  Problem with Invex Relaxation
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Adarsh Barik
Jean Honorio
16
6
0
02 Jun 2022
Enriched Robust Multi-View Kernel Subspace Clustering
Enriched Robust Multi-View Kernel Subspace Clustering
Mengyuan Zhang
Kai-Chun Liu
34
2
0
21 May 2022
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
Yuheng Jia
Guanxing Lu
Hui Liu
Junhui Hou
28
19
0
21 May 2022
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with
  Superpixels
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels
Mirko Paolo Barbato
Paolo Napoletano
Flavio Piccoli
Raimondo Schettini
21
20
0
26 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
37
2
0
12 Apr 2022
Analysis of Sparse Subspace Clustering: Experiments and Random
  Projection
Analysis of Sparse Subspace Clustering: Experiments and Random Projection
M. F. Demirel
Enrico Au-Yeung
18
1
0
01 Apr 2022
The Role of Interactivity in Structured Estimation
The Role of Interactivity in Structured Estimation
Jayadev Acharya
C. Canonne
Ziteng Sun
Himanshu Tyagi
24
10
0
14 Mar 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
23
6
0
11 Mar 2022
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization
  approach with recovery guarantees
Reverse Engineering ℓp\ell_pℓp​ attacks: A block-sparse optimization approach with recovery guarantees
D. Thaker
Paris V. Giampouras
René Vidal
AAML
13
5
0
09 Mar 2022
Clustering and classification of low-dimensional data in explicit
  feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of
  a colon in a liver
Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver
Dario Sitnik
I. Kopriva
14
1
0
07 Mar 2022
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation
  Learning
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning
Xuelong Li
Hongyuan Zhang
Rui Zhang
24
23
0
04 Mar 2022
Using the left Gram matrix to cluster high dimensional data
Using the left Gram matrix to cluster high dimensional data
Shahina Rahman
V. Johnson
S. Subba Rao
16
1
0
16 Feb 2022
Consistency and Diversity induced Human Motion Segmentation
Consistency and Diversity induced Human Motion Segmentation
Tao Zhou
Huazhu Fu
Chen Gong
Ling Shao
Fatih Porikli
Haibin Ling
Jianbing Shen
11
22
0
10 Feb 2022
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank
  Constraints and Graph Embedding
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
Xian Wei
See-Kiong Ng
Tongtong Zhang
Yingjie Liu
20
1
0
03 Feb 2022
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