Dissimilarity-based classification for vectorial representations


General dissimilarity-based learning approaches have been proposed for dissimilarity data sets (Pekalska et al., 2002). They arise in problems in which direct comparisons of objects are made, e.g. by computing pairwise distances between images, spectra, graphs or strings. In this paper, we study under which circumstances such dissimilarity-based techniques… (More)
DOI: 10.1109/ICPR.2006.457

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