A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples

DOI10.1016/j.patcog.2010.12.011zbMath1209.68499OpenAlexW2107776784MaRDI QIDQ632610

Jianchun Zhang, Dao-Qiang Zhang

Publication date: 25 March 2011

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.12.011

zbMATH Keywords

feature extractioncanonical correlation analysisensemble constructionrandom correlation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Dynamic maintenance of rough approximations in multi-source hybrid information systems ⋮ Relatively-paired space analysis: learning a latent common space from relatively-paired observations

Cites Work

• Unnamed Item
• Bagging predictors
• Multi-view Regression Via Canonical Correlation Analysis
• Computer Vision - ECCV 2004
• RELATIONS BETWEEN TWO SETS OF VARIATES

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