Paper

### Sparse Kernel Canonical Correlation Analysis via $\ell_1$-regularization

Canonical correlation analysis (CCA) is a multivariate statistical technique for finding the linear relationship between two sets of variables. The kernel generalization of CCA named kernel CCA has been proposed to find nonlinear relations between datasets... (read more)

Results in Papers With Code
(↓ scroll down to see all results)