Regularization in Relevance Learning Vector Quantization Using l one Norms

18 Oct 2013Martin RiedelMarika KästnerFabrice RossiThomas Villmann

We propose in this contribution a method for l one regularization in prototype based relevance learning vector quantization (LVQ) for sparse relevance profiles. Sparse relevance profiles in hyperspectral data analysis fade down those spectral bands which are not necessary for classification... (read more)

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