Multi-view latent space learning framework via adaptive graph embedding
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DOI: 10.1117/1.jei.33.6.063016
Abstract: Abstract. We propose a new approach to multi-view subspace learning termed multi-view latent space learning via adaptive graph embedding (MvSLGE), which learns a latent representation from multi-view features. In contrast to most existing multi-view latent… read more here.
Keywords: view; view latent; space learning; multi view ... See more keywords