Subspace perspective on canonical correlation analysis: Dimension reduction and minimax rates
Subspace perspective on canonical correlation analysis: Dimension reduction and minimax rates
Canonical correlation analysis (CCA) is a fundamental statistical tool for exploring the correlation structure between two sets of random variables. In this paper, motivated by the recent success of applying CCA to learn low dimensional representations of high dimensional objects, we propose two losses based on the principal angles between …