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The Double-Barrelled LASSO (Sparse Canonical Correlation Analysis)

The Double-Barrelled LASSO (Sparse Canonical Correlation Analysis)

This video was recorded at NIPS Workshop on Learning from Multiple Sources, Whistler 2008. We present a new method which solves a double-barelled LASSO in a convex least squares approach. In the presented method we focus on the scenario where one is interested in (or limited to) a primal (feature) representation for the first view while having a dual (kernel) representation for the second view. DB-LASSO minimises the number of features used in both the primal and dual projections while minimising the error (maximising the correlation) between the two views.


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