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ICPR
2008
IEEE

Semi-supervised discriminant analysis based on UDP regularization

13 years 10 months ago
Semi-supervised discriminant analysis based on UDP regularization
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regularization on LDA. The labeled data points provide labeling information and the unlabeled data points provide extra geometric structure information of the data, then we learn a labeling function which is as smooth as possible on the data manifold. Experiments on several face databases show the effectiveness of the algorithm.
Huining Qiu, Jian-Huang Lai, Jian Huang, Yu Chen
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Huining Qiu, Jian-Huang Lai, Jian Huang, Yu Chen
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