By Marcello Pelillo (auth.), Marcello Pelillo (eds.)

This obtainable text/reference offers a coherent assessment of the rising box of non-Euclidean similarity studying. The e-book offers a huge variety of views on similarity-based development research and popularity tools, from basically theoretical demanding situations to useful, real-world functions. The insurance comprises either supervised and unsupervised studying paradigms, in addition to generative and discriminative versions. themes and contours: explores the origination and explanations of non-Euclidean (dis)similarity measures, and the way they effect the functionality of conventional category algorithms; stories similarity measures for non-vectorial information, contemplating either a “kernel tailoring” strategy and a technique for studying similarities without delay from education facts; describes a variety of tools for “structure-preserving” embeddings of established facts; formulates classical development attractiveness difficulties from a simply game-theoretic standpoint; examines large-scale biomedical imaging applications.

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