Review paper
Multiview Canonical Correlation Analysis over Graphs
Published: May 1, 2019
Abstract
Multiview canonical correlation analysis (MCCA) looks for shared low-dimensional representations hidden in multiple transformations of common source signals. Existing MCCA approaches do not exploit the geometry of common sources, which can be either given a priori, or constructed from do- main knowledge. In this paper, a novel graph-regularized (G) MCCA is developed to account for such geometry-bearing in- formation via graph regularization in...
Paper Details
Title
Multiview Canonical Correlation Analysis over Graphs
Published Date
May 1, 2019
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