On the Pre-Image Problem in Kernel Methods


In this chapter we are concerned with the problem of reconstructing patterns from their representation in feature space, known as the pre-image problem. We review existing algorithms and propose a learning based approach. All algorithms are discussed regarding their usability and complexity and evaluated on an image denoising application

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This paper was published in MPG.PuRe.

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