Similarity-Based Pattern Analysis and Recognition

Similarity-Based Pattern Analysis and Recognition
Author :
Publisher : Springer Science & Business Media
Total Pages : 293
Release :
ISBN-10 : 9781447156284
ISBN-13 : 1447156285
Rating : 4/5 (285 Downloads)

Book Synopsis Similarity-Based Pattern Analysis and Recognition by : Marcello Pelillo

Download or read book Similarity-Based Pattern Analysis and Recognition written by Marcello Pelillo and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a “kernel tailoring” approach and a strategy for learning similarities directly from training data; describes various methods for “structure-preserving” embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imaging applications.


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