Weighted hybrid fusion with rank consistency

•Propose a weighted hybrid multi-view fusion method for the semi-supervised classification problem.•Introduce Variant Alternating Splitting Augmented Lagrangian Method to solve the rank consistency problem.•Design an efficient iterative algorithm to optimize the objective function. This paper propos...

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Veröffentlicht in:	Pattern recognition letters 2020-10, Vol.138, p.329-335
Hauptverfasser:	Wang, Song, Guo, Xin, Tie, Yun, Lee, Ivan, Qi, Lin, Guan, Ling
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classifiers Consistency Hybrid fusion Information fusion Iterative algorithms Multi-view learning Optimization Parameter sensitivity Quadratic programming Rank consistency Semi-supervised learning
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