Semi-supervised Robust Dual-graph Concept Factorization via L<sub>2,1</sub> Norm-Reference-Cited by-同舟云学术

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Semi-supervised Robust Dual-graph Concept Factorization via L_2,1 Norm

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
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Author:

Jiang Qi¹,Yu Yuyuan¹,Zhao Qibin¹,Sun Weijun¹

Affiliation:

1. Guangdong University of Technology,School of Automation,Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728014.pdf?arnumber=9728014

Reference20 articles.

1. Graph dual regularization non-negative matrix factorization for co-clustering

2. Constrained Nonnegative Matrix Factorization for Image Representation

3. Constrained concept factorization for image representation;liu;IEEE Transactions on Cybernetics,2013

4. Local regularization concept factorization and its semi-supervised extension for image representation

5. Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering

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1. Semi-supervised multi-view concept decomposition;Expert Systems with Applications;2024-05

2. Self-representative kernel concept factorization;Knowledge-Based Systems;2023-01

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