Sparse representation and piece-wise linear kernel

Abstract

We propose a new type of kernel function, where feature space is explicitly given with a piece-wise linear mapping from the input space. This idea is inspired by sparse linear system analysis, where inputs are represented as a sparse linear combination of "dictionary vectors." This article gives the idea of such kernel function, and some preliminary experimental results.

Publication
Proceedings of Signal Processing with Adaptive Sparse Structured Representations (SPARS'05)

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