A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data
type: Item
instance of: scholarly article
title: A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data
zbMATH Open document ID: 1233.68187
author: Hui Xue
author: Xudong Zhou
author: Xiaohong Chen
author: Songcan Chen
published in: Pattern Recognition
publication date: 2012-03-09T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 6013608
zbMATH Keywords: multi-view data
zbMATH Keywords: correlation analysis
zbMATH Keywords: semi-supervised learning
zbMATH Keywords: semi-paired learning
zbMATH Keywords: dimensionality reduction
MaRDI profile type: Publication
full work available at URL: j.patcog.2011.11.008
OpenAlex ID: W2089494389
cites work: Multiple view semi-supervised dimensionality reduction
cites work: RELATIONS BETWEEN TWO SETS OF VARIATES
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cites work: Q3174044
cites work: A unified framework for semi-supervised dimensionality reduction
cites work: Semi-supervised local Fisher discriminant analysis for dimensionality reduction
cites work: Q3174110
cites work: Q4909794
cites work: Appearance models based on kernel canonical correlation analysis.
cites work: Pattern classification.
DOI: 10.1016/J.PATCOG.2011.11.008
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description: scientific article; zbMATH DE number 6013608