This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015. The 15 full and 8 short papers presented were carefully reviewed and selected from 30 submissions.The workshop focus on problems, techniques, applications, and perspectives: from supervisedto unsupervised learning, from generative to discriminative models, and fromtheoretical issues to empirical validations.
Includes supplementary material: sn.pub/extras
Aasa Feragen
Pattern recognition machine learning theory machine learning approaches learning paradigms knowledge representation and reasoning graph representation kernel methods supervised learning unsupervised learning dissimilarity-based learning similarity-based learning non-Euclidean geometry algorithm analysis and problem complexity