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Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace
  Clustering

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

9 May 2016
Chong You
Chun-Guang Li
Daniel P. Robinson
René Vidal
ArXiv (abs)PDFHTML

Papers citing "Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering"

50 / 75 papers shown
Title
Concept Lancet: Image Editing with Compositional Representation Transplant
Concept Lancet: Image Editing with Compositional Representation Transplant
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
Hancheng Min
Chris Callison-Burch
Rene Vidal
DiffMKELM
141
0
0
03 Apr 2025
PaCE: Parsimonious Concept Engineering for Large Language Models
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
D. Thaker
Aditya Chattopadhyay
Chris Callison-Burch
René Vidal
CVBM
98
11
0
06 Jun 2024
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
Chakib Fettal
Lazhar Labiod
M. Nadif
OT
63
1
0
07 Feb 2024
Deep Structure and Attention Aware Subspace Clustering
Deep Structure and Attention Aware Subspace Clustering
Wenhao Wu
Weiwei Wang
Shengjiang Kong
66
0
0
25 Dec 2023
Deep Double Self-Expressive Subspace Clustering
Deep Double Self-Expressive Subspace Clustering
Ling Zhao
Yunpeng Ma
Shanxiong Chen
Jun Zhou
SSL
45
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
SSLVLM
83
14
0
08 Jun 2023
Learning Structure Aware Deep Spectral Embedding
Learning Structure Aware Deep Spectral Embedding
Hira Yaseen
Arif Mahmood
50
4
0
14 May 2023
Density peak clustering using tensor network
Density peak clustering using tensor network
Xiaoxi Shi
Y. Shang
44
1
0
01 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
78
42
0
27 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
91
12
0
04 Jan 2023
Simple and Scalable Algorithms for Cluster-Aware Precision Medicine
Simple and Scalable Algorithms for Cluster-Aware Precision Medicine
Amanda M. Buch
C. Liston
L. Grosenick
54
0
0
29 Nov 2022
Learning idempotent representation for subspace clustering
Learning idempotent representation for subspace clustering
Lai Wei
Shiteng Liu
Rigui Zhou
Changming Zhu
46
4
0
29 Jul 2022
Revisiting data augmentation for subspace clustering
Revisiting data augmentation for subspace clustering
Maryam Abdolali
Nicolas Gillis
26
1
0
20 Jul 2022
Self-Supervised Deep Subspace Clustering with Entropy-norm
Self-Supervised Deep Subspace Clustering with Entropy-norm
G. Zhao
Simin Kou
Xuesong Yin
57
1
0
10 Jun 2022
Greedier is Better: Selecting Multiple Neighbors per Iteration for
  Sparse Subspace Clustering
Greedier is Better: Selecting Multiple Neighbors per Iteration for Sparse Subspace Clustering
Jwo-Yuh Wu
L. Huang
Wen-Hsuan Li
Chunxi Liu
Rung-Hung Gau
63
0
0
06 Apr 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
54
6
0
11 Mar 2022
Dictionary learning for clustering on hyperspectral images
Dictionary learning for clustering on hyperspectral images
Joshua Bruton
Hairong Wang
21
6
0
02 Feb 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
93
43
0
24 Jan 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
Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering
Yanming Li
Changsheng Li
Shiye Wang
Ye Yuan
Guoren Wang
SSL
52
0
0
28 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang
Chong You
René Vidal
Chun-Guang Li
96
44
0
08 Oct 2021
Detecting adversaries in Crowdsourcing
Detecting adversaries in Crowdsourcing
Panagiotis A. Traganitis
G. Giannakis
50
2
0
07 Oct 2021
Adaptive Attribute and Structure Subspace Clustering Network
Adaptive Attribute and Structure Subspace Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
58
30
0
28 Sep 2021
Provable Data Clustering via Innovation Search
Provable Data Clustering via Innovation Search
Weiwei Li
M. Rahmani
Ping Li
30
2
0
16 Aug 2021
A Simple Approach to Automated Spectral Clustering
A Simple Approach to Automated Spectral Clustering
Jicong Fan
Y. Tu
Zhao Zhang
Mingbo Zhao
Haijun Zhang
103
20
0
23 Jul 2021
Towards Clustering-friendly Representations: Subspace Clustering via
  Graph Filtering
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
Zhengrui Ma
Zhao Kang
Guangchun Luo
Ling Tian
69
51
0
18 Jun 2021
Large-Scale Subspace Clustering via k-Factorization
Large-Scale Subspace Clustering via k-Factorization
Jicong Fan
73
33
0
08 Dec 2020
Doubly Stochastic Subspace Clustering
Doubly Stochastic Subspace Clustering
Derek Lim
René Vidal
B. Haeffele
59
22
0
30 Nov 2020
Overcomplete Deep Subspace Clustering Networks
Overcomplete Deep Subspace Clustering Networks
Jeya Maria Jose Valanarasu
Vishal M. Patel
65
16
0
16 Nov 2020
A Critique of Self-Expressive Deep Subspace Clustering
A Critique of Self-Expressive Deep Subspace Clustering
B. Haeffele
Chong You
René Vidal
90
28
0
08 Oct 2020
Learning Self-Expression Metrics for Scalable and Inductive Subspace
  Clustering
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering
Julian Busch
Evgeniy Faerman
Matthias Schubert
Thomas Seidl
SSL
46
4
0
27 Sep 2020
A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance
  under Position Uncertainty
A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty
Sina Sharif Mansouri
Christoforos Kanellakis
B. Lindqvist
Farhad Pourkamali Anaraki
Ali-akbar Agha-mohammadi
J. W. Burdick
G. Nikolakopoulos
27
14
0
31 Jul 2020
Subspace Clustering for Action Recognition with Covariance
  Representations and Temporal Pruning
Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning
Giancarlo Paoletti
Jacopo Cavazza
Cigdem Beyan
Alessio Del Bue
63
31
0
21 Jun 2020
Learning Diverse and Discriminative Representations via the Principle of
  Maximal Coding Rate Reduction
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu
Kwan Ho Ryan Chan
Chong You
Chaobing Song
Yi-An Ma
SSL
90
197
0
15 Jun 2020
Self-Representation Based Unsupervised Exemplar Selection in a Union of
  Subspaces
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
Chong You
Chi Li
Daniel P. Robinson
René Vidal
54
16
0
07 Jun 2020
Is an Affine Constraint Needed for Affine Subspace Clustering?
Is an Affine Constraint Needed for Affine Subspace Clustering?
Chong You
Chun-Guang Li
Daniel P. Robinson
René Vidal
67
25
0
08 May 2020
Stochastic Sparse Subspace Clustering
Stochastic Sparse Subspace Clustering
Ying Chen
Chun-Guang Li
Chong You
99
69
0
04 May 2020
Learnable Subspace Clustering
Learnable Subspace Clustering
Jun Li
Hongfu Liu
Zhiqiang Tao
Handong Zhao
Y. Fu
70
34
0
09 Apr 2020
Multi-Level Representation Learning for Deep Subspace Clustering
Multi-Level Representation Learning for Deep Subspace Clustering
Mohsen Kheirandishfard
Fariba Zohrizadeh
F. Kamangar
SSL
47
36
0
19 Jan 2020
Sparse-Dense Subspace Clustering
Sparse-Dense Subspace Clustering
Shuai Yang
Wenqi Zhu
Yuesheng Zhu
28
1
0
20 Oct 2019
Residual Encoder-Decoder Network for Deep Subspace Clustering
Residual Encoder-Decoder Network for Deep Subspace Clustering
Shuai Yang
Wenqi Zhu
Yuesheng Zhu
43
13
0
12 Oct 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
62
54
0
26 Sep 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
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
Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace
  Clustering
Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering
Wenqi Zhu
Yuesheng Zhu
Li Zhong
Shuai Yang
16
6
0
01 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
Neural Collaborative Subspace Clustering
Neural Collaborative Subspace Clustering
Tong Zhang
Pan Ji
Mehrtash Harandi
Wen-bing Huang
Hongdong Li
58
72
0
24 Apr 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards
  Centroids Construction
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
Nairouz Mrabah
N. Khan
Riadh Ksantini
Z. Lachiri
90
64
0
23 Jan 2019
Simultaneous Subspace Clustering and Cluster Number Estimating based on
  Triplet Relationship
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship
Jie Liang
Jufeng Yang
Ming-Ming Cheng
Paul L. Rosin
Liang Wang
18
17
0
23 Jan 2019
Precise Performance Analysis of the Box-Elastic Net under Matrix
  Uncertainties
Precise Performance Analysis of the Box-Elastic Net under Matrix Uncertainties
Ayed M. Alrashdi
Ismail Ben Atitallah
Tareq Y. Al-Naffouri
11
12
0
11 Jan 2019
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