"Principal component analysis"

SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations

Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limited, which is often the case in practice. To cope with this problem, we …