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Neural Collaborative Subspace Clustering

Neural Collaborative Subspace Clustering

24 April 2019
Tong Zhang
Pan Ji
Mehrtash Harandi
Wen-bing Huang
Hongdong Li
ArXiv (abs)PDFHTML

Papers citing "Neural Collaborative Subspace Clustering"

24 / 24 papers shown
Title
Scalable Deep $k$-Subspace Clustering
Scalable Deep kkk-Subspace Clustering
Tong Zhang
Pan Ji
Mehrtash Harandi
Leonid Sigal
Ian Reid
95
35
0
02 Nov 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee
Himanshu Asnani
Eugene Lin
Sreeram Kannan
GAN
61
339
0
10 Sep 2018
Deep Subspace Clustering Networks
Deep Subspace Clustering Networks
Pan Ji
Tong Zhang
Hongdong Li
Mathieu Salzmann
Ian Reid
SSL
71
512
0
08 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
289
8,935
0
25 Aug 2017
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
94
878
0
15 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
171
4,241
0
12 Jun 2016
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace
  Clustering
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
Chong You
Chun-Guang Li
Daniel P. Robinson
René Vidal
94
243
0
09 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
357
10,209
0
16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
294
11,159
0
14 Mar 2016
Robust Multi-body Feature Tracker: A Segmentation-free Approach
Robust Multi-body Feature Tracker: A Segmentation-free Approach
Pan Ji
Hongdong Li
Mathieu Salzmann
Yiran Zhong
49
15
0
01 Mar 2016
Kernel Sparse Subspace Clustering on Symmetric Positive Definite
  Manifolds
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
Ming Yin
Yi Guo
Junbin Gao
Zhaoshui He
Shengli Xie
64
105
0
04 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,774
0
10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedMLSSLDML
104
1,646
0
19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
115
2,889
0
19 Nov 2015
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace
  Clustering with Corrupted and Incomplete Data
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data
Pan Ji
Mathieu Salzmann
Hongdong Li
68
75
0
09 Sep 2015
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
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,766
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.2K
150,501
0
22 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
263
4,683
0
21 Dec 2014
Robust and Efficient Subspace Segmentation via Least Squares Regression
Robust and Efficient Subspace Segmentation via Least Squares Regression
Canyi Lu
Hai Min
Zhongming Zhao
Ling Zhu
De-Shuang Huang
Shuicheng Yan
68
666
0
27 Apr 2014
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar
René Vidal
156
2,335
0
05 Mar 2012
Hybrid Linear Modeling via Local Best-fit Flats
Hybrid Linear Modeling via Local Best-fit Flats
Teng Zhang
Arthur Szlam
Yi Wang
Gilad Lerman
147
204
0
17 Oct 2010
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
3,229
0
14 Oct 2010
Kernel Spectral Curvature Clustering (KSCC)
Kernel Spectral Curvature Clustering (KSCC)
Guangliang Chen
Stefan Atev
Gilad Lerman
117
46
0
09 Sep 2009
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