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Deep semi-supervised relation preserving learning model
DOI:10.1016/j.patcog.2025.112793.png)
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
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
No organization information available

