scholarly journals Noisy Subspace Clustering via Matching Pursuits

2018 ◽  
Vol 64 (6) ◽  
pp. 4081-4104 ◽  
Author(s):  
Michael Tschannen ◽  
Helmut Bolcskei
Keyword(s):  
Subspace Clustering ◽  
Matching Pursuits

Subspace Clustering Based on Differential Evolution

2012 ◽  
Vol 35 (10) ◽  
pp. 2116 ◽  
Author(s):  
Zhi-Sheng BI ◽  
Jia-Hai WANG ◽  
Jian YIN
Keyword(s):  
Differential Evolution ◽  
Subspace Clustering

scholarly journals Matching Pursuits with random sequential subdictionaries

2012 ◽  
Vol 92 (10) ◽  
pp. 2532-2544 ◽  
Author(s):  
Manuel Moussallam ◽  
Laurent Daudet ◽  
Gaël Richard
Keyword(s):  
Matching Pursuits

Robust Subspace Clustering Based on Automatic Weighted Multiple Kernel Learning

2021 ◽  
Author(s):  
Guo ◽  
Xiaoqian Zhang ◽  
Zhigui Liu ◽  
Xuqian Xue ◽  
Qian Wang ◽  
...  
Keyword(s):  
Multiple Kernel Learning ◽  
Subspace Clustering ◽  
Kernel Learning ◽  
Multiple Kernel

Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering

2021 ◽  
Author(s):  
Shuqin Wang ◽  
Yongyong Chen ◽  
Yigang Ce ◽  
Linna Zhang ◽  
Viacheslav Voronin
Keyword(s):  
Subspace Clustering ◽  
Low Rank ◽  
Tensor Representation

A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System

2021 ◽  
pp. 1-1
Author(s):  
Zhihua Cui ◽  
Xuechun Jing ◽  
Peng Zhao ◽  
Wensheng Zhang ◽  
Jinjun Chen
Keyword(s):  
Data Analysis ◽  
Subspace Clustering

Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering

2020 ◽  
pp. 1-11
Author(s):  
Yesong Xu ◽  
Shuo Chen ◽  
Jun Li ◽  
Zongyan Han ◽  
Jian Yang
Keyword(s):  
Subspace Clustering ◽  
Diagonal Representation ◽  
Block Diagonal

Low-Rank Tensor Graph Learning for Multi-view Subspace Clustering

2021 ◽  
pp. 1-1
Author(s):  
Yongyong Chen ◽  
Xiaolin Xiao ◽  
Chong Peng ◽  
Guangming Lu ◽  
Yicong Zhou
Keyword(s):  
Subspace Clustering ◽  
Low Rank ◽  
Graph Learning ◽  
Rank Tensor
Sign in / Sign up

Export Citation Format

Share Document