2019
Discriminative Feature Selection Guided Deep Canonical Correlation Analysis
ICASSP 2019accepted
This paper proposes a novel Discriminative Feature Selection Guided Deep Canonical Correlation Analysis (D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> CCA) for multiview learning. The proposed (D <sup xmlns:mml="http://www.w3.org/1998/Math/M…