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Deep semi-supervised relation preserving learning model

delete2025-12-02
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PRE
AI
C
Chenxi Tian
L
Lingling Li
刘旭 (Xu Liu)
L
Licheng Jiao *
刘芳 (Fang Liu)
S
Shuyuan Yang
DOI:10.1016/j.patcog.2025.112793delete
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Abstract

Abstract

En 中文
• We proposed a novel deep classification method that enhances classification performance. • We incorporated label guidance into feature learning to enhance the effectiveness of features. • We introduced preservation of graph structure distance into feature learning to enhance feature stability.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

No organization information available