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Maximum Entropy Subspace Clustering Network

Maximum Entropy Subspace Clustering Network

6 December 2020
Zhihao Peng
Yuheng Jia
Hui Liu
Junhui Hou
Qingfu Zhang
ArXivPDFHTML

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
52
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
35
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
18
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
106
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
196
12,073
0
13 Nov 2019
Deep Closed-Form Subspace Clustering
Deep Closed-Form Subspace Clustering
Junghoon Seo
Jamyoung Koo
Taegyun Jeon
39
11
0
26 Aug 2019
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLM
SSeg
125
1,084
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
55
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
44
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
71
285
0
03 Oct 2017
Deep Subspace Clustering Networks
Deep Subspace Clustering Networks
Pan Ji
Tong Zhang
Hongdong Li
Mathieu Salzmann
Ian Reid
SSL
51
516
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
45
95
0
01 May 2017
How to learn a graph from smooth signals
How to learn a graph from smooth signals
Vassilis Kalofolias
73
515
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
56
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
320
18,609
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar
René Vidal
102
2,332
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
113
3,222
0
14 Oct 2010
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