Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis

Canonical Correlation Analysis (CCA) is a widely used spectral technique for finding correlation structures in multi-view datasets. In this paper, we tackle the problem of large scale CCA, where class