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SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations
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Akisato Kimura
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Masashi Sugiyama
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Takuho Nakano
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Hirokazu Kameoka
,
Hitoshi Sakano
,
Eisaku Maeda
,
Katsuhiko Ishiguro
… Advantages of the proposed method over previously proposed methods are its computational efficiency and intuitive operationality: it smoothly bridges the generalized eigenvalue problems of CCA and principal component analysis (PCA), and thus its solution can be computed efficiently just by solving a single eigenvalue problem as the original CCA. …
情報処理学会論文誌. 数理モデル化と応用 6(1), 128-135, 2013-03-12
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