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Decouple-then-Align: Structural Consensus for Unsupervised Feature Selection

delete2026-10-19
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PRE
AI
Y
Yunlong Gao *
J
Junwen Jiang
X
Xinjing Wang
J
Jinyan Pan
H
Haifeng Zhang
F
Feiping Nie *
DOI:10.1016/j.inffus.2026.104889delete
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Abstract

Abstract

En 中文
• DTA-UFS decouples graph preservation from the sparse-regression target. • A semi-orthogonal matrix aligns spectral and pseudo-label representations. • A conditional bound links consensus error to alignment and graph regularization.
Keywords:
Unsupervised feature selection
Procrustes alignment
Decouple-then-align
Embedding learning

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.3K
Citations:
2.7W

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