Unitary-Group Invariant Kernels and Features from Transformed Unlabeled Data

18 Nov 2015 Dipan K. Pal Marios Savvides

The study of representations invariant to common transformations of the data is important to learning. Most techniques have focused on local approximate invariance implemented within expensive optimization frameworks lacking explicit theoretical guarantees... (read more)

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Non-Parametric Classification