Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning

Hui Zhang
Hui Zhang
Yun Li
Yun Li
Guangwei Gao
Guangwei Gao

ICONIP (1), pp. 670-678, 2019.

Cited by: 0|Bibtex|Views29|DOI:https://doi.org/10.1007/978-3-030-36708-4_55
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

Canonical correlation analysis (CCA) is a widely used linear unsupervised subspace learning method. However, standard CCA works with vectorized representation of image matrix, which loses the spatial structure information of image data. In addition, a real-world observation often simultaneously belongs to multiple distinct classes with di...More

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