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Learning a Self-Expressive Network for Subspace Clustering

Learning a Self-Expressive Network for Subspace Clustering

8 October 2021
Shangzhi Zhang
Chong You
René Vidal
Chun-Guang Li
ArXivPDFHTML

Papers citing "Learning a Self-Expressive Network for Subspace Clustering"

15 / 15 papers shown
Title
Deep Spectral Clustering via Joint Spectral Embedding and Kmeans
Deep Spectral Clustering via Joint Spectral Embedding and Kmeans
Wengang Guo
Wei Ye
62
0
0
15 Dec 2024
Contrastive Learning Subspace for Text Clustering
Contrastive Learning Subspace for Text Clustering
Qian Yong
Chen Chen
Xiabing Zhou
23
0
0
26 Aug 2024
Deep Structure and Attention Aware Subspace Clustering
Deep Structure and Attention Aware Subspace Clustering
Wenhao Wu
Weiwei Wang
Shengjiang Kong
18
0
0
25 Dec 2023
Efficient and Effective Deep Multi-view Subspace Clustering
Efficient and Effective Deep Multi-view Subspace Clustering
Yuxiu Lin
Hui Liu
Ren Wang
Qiang Guo
Caiming Zhang
13
0
0
15 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration
  in Adversarial Robustness
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Ambar Pal
Huaijin Hao
René Vidal
14
8
0
28 Sep 2023
Learning Structure Aware Deep Spectral Embedding
Learning Structure Aware Deep Spectral Embedding
Hira Yaseen
Arif Mahmood
13
4
0
14 May 2023
Rotation and Translation Invariant Representation Learning with Implicit
  Neural Representations
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
Sehyun Kwon
Jooyoung Choi
Ernest K. Ryu
OOD
19
4
0
27 Apr 2023
On Interpretable Approaches to Cluster, Classify and Represent
  Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion
  Theory
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory
Kaige Lu
Avraham Chapman
11
0
0
21 Feb 2023
Unsupervised Manifold Linearizing and Clustering
Unsupervised Manifold Linearizing and Clustering
Tianjiao Ding
Shengbang Tong
Kwan Ho Ryan Chan
Xili Dai
Y. Ma
B. Haeffele
10
11
0
04 Jan 2023
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and
  Future Directions
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Sheng Zhou
Hongjia Xu
Zhuonan Zheng
Jiawei Chen
Zhao Li
Jiajun Bu
Jia Wu
Xin Eric Wang
Wenwu Zhu
Martin Ester
11
91
0
15 Jun 2022
Unsupervised Deep Discriminant Analysis Based Clustering
Unsupervised Deep Discriminant Analysis Based Clustering
Jinyu Cai
Wenzhong Guo
Jicong Fan
10
5
0
09 Jun 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
17
41
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
11
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
26
0
0
28 Oct 2021
Adaptive Attribute and Structure Subspace Clustering Network
Adaptive Attribute and Structure Subspace Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
11
28
0
28 Sep 2021
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