Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning
ICONIP (1), pp. 670-678, 2019.
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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