Semi-paired Probabilistic Canonical Correlation Analysis

摘要：

　　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 probabilistic model for CCA.Experiments with artificially generated samples demonstrate the effectiveness of the proposed method.

关键词： canonical correlation analysis probabilistic canonical correlation analysis semi-paired multi-view data

作者: Bo Zhang Jie Hao Gang Ma Jinpeng Yue Zhongzhi Shi

作者单位: Chinese Academy of Sciences, Institute of Computing Technology,The Key Laboratory of Intelligent Inf Xuzhou Medical College School of Medicine Information, Xuzhou, China Chinese Academy of Sciences, Institute of Computing Technology,The Key Laboratory of Intelligent Inf Chinese Academy of Sciences, Institute of Computing Technology,The Key Laboratory of Intelligent Inf

会议类型: 国际会议

会议名称: 8th International Conference on Intelligent Information Processing(2014年IFIP智能信息处理国际会议)

会议地点: 杭州

会议语种:英文

页码: 1-10

在线出版日期: 2014-10-01（万方平台首次上网日期，不代表论文的发表时间）