Semi-paired Probabilistic Canonical Correlation Analysis

Abstract

CCA is a powerful tool for analyzing paired multi-view data. However, when facing semi-paired multi-view data which widely exist in real-world problems, CCA usually performs poorly due to its requirement of data pairing between different views in nature. To cope with this problem, we propose a semi-paired variant of CCA named SemiPCCA based on the… (More)
DOI: 10.1007/978-3-662-44980-6_1

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Cite this paper

@inproceedings{Zhang2014SemipairedPC, title={Semi-paired Probabilistic Canonical Correlation Analysis}, author={Bo Zhang and Jie Hao and Gang Ma and Jinpeng Yue and Zhongzhi Shi}, booktitle={Intelligent Information Processing}, year={2014} }