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Maximum Entropy Subspace Clustering Network
v1v2v3 (latest)

Maximum Entropy Subspace Clustering Network

6 December 2020
Zhihao Peng
Yuheng Jia
Hui Liu
Junhui Hou
Qingfu Zhang
ArXiv (abs)PDFHTML

Papers citing "Maximum Entropy Subspace Clustering Network"

18 / 18 papers shown
Title
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou
Yuheng Jia
58
0
0
22 May 2025
Role of Orthogonality Constraints in Improving Properties of Deep
  Networks for Image Classification
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Hongjun Choi
Anirudh Som
Pavan Turaga
41
8
0
22 Sep 2020
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Yuheng Jia
Hui Liu
Junhui Hou
Sam Kwong
Qingfu Zhang
60
81
0
30 Apr 2020
Structure Learning with Similarity Preserving
Structure Learning with Similarity Preserving
Zhao Kang
Xiao Lu
Yiwei Lu
Chong Peng
Zenglin Xu
125
43
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
223
12,147
0
13 Nov 2019
Deep Closed-Form Subspace Clustering
Deep Closed-Form Subspace Clustering
Junghoon Seo
Jamyoung Koo
Taegyun Jeon
50
11
0
26 Aug 2019
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLMSSeg
136
1,088
0
21 Nov 2018
Deep $k$-Means: Jointly clustering with $k$-Means and learning
  representations
Deep kkk-Means: Jointly clustering with kkk-Means and learning representations
Maziar Moradi Fard
Thibaut Thonet
Éric Gaussier
76
239
0
26 Jun 2018
Subspace Clustering by Block Diagonal Representation
Subspace Clustering by Block Diagonal Representation
Canyi Lu
Jiashi Feng
Zhouchen Lin
Tao Mei
Shuicheng Yan
66
360
0
23 May 2018
Learning Affinity via Spatial Propagation Networks
Learning Affinity via Spatial Propagation Networks
Sifei Liu
Shalini De Mello
Liang Feng
Guangyu Zhong
Ming-Hsuan Yang
Jan Kautz
78
285
0
03 Oct 2017
Deep Subspace Clustering Networks
Deep Subspace Clustering Networks
Pan Ji
Tong Zhang
Hongdong Li
Mathieu Salzmann
Ian Reid
SSL
63
512
0
08 Sep 2017
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Zhao Kang
Chong Peng
Q. Cheng
80
95
0
01 May 2017
How to learn a graph from smooth signals
How to learn a graph from smooth signals
Vassilis Kalofolias
92
516
0
11 Jan 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You
Daniel P. Robinson
René Vidal
75
348
0
05 Jul 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
369
18,664
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.2K
150,472
0
22 Dec 2014
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar
René Vidal
146
2,335
0
05 Mar 2012
Robust Recovery of Subspace Structures by Low-Rank Representation
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu
Zhouchen Lin
Shuicheng Yan
Ju Sun
Yong Yu
Yi-An Ma
149
3,228
0
14 Oct 2010
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