20th International Conference on Pattern Recognition Conference, İstanbul, Türkiye, 23 - 26 Nisan 2010, cilt.6388, ss.46-47
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [1,2]. They often arise in problems in which direct comparisons of objects are made by computing pairwise distances between images, spectra, graphs or strings.