A splitting method for the locality regularized semi-supervised subspace clustering-Reference-Cited by-同舟云学术

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A splitting method for the locality regularized semi-supervised subspace clustering

Published:2019-10-08 Issue:5 Volume:69 Page:1069-1096
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Liang Renli¹²,Bai Yanqin¹,Lin Hai Xiang³^ORCID

Affiliation:

1. Department of Mathematics, Shanghai University, Shanghai, People's Republic of China

2. College of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, People's Republic of China

3. Department of Applied Mathematics, Delft University of Technology, Delft, Netherlands

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2019.1671841

Reference28 articles.

1. Semi-Supervised Learning

2. Data preprocessing in semi-supervised SVM classification

3. New SDP models for protein homology detection with semi-supervised SVM

4. An inexact splitting method for the subspace segmentation from incomplete and noisy observations

5. Sparse Representation for Computer Vision and Pattern Recognition

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