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portada Similarity-Based Pattern Analysis and Recognition
Type
Physical Book
Publisher
Author
Language
English
Pages
291
Format
Paperback
Dimensions
23.4 x 15.6 x 1.7 cm
Weight
0.44 kg.
ISBN13
9781447169505
Categories

Similarity-Based Pattern Analysis and Recognition

Pelillo, Marcello (Author) · Springer · Paperback

Similarity-Based Pattern Analysis and Recognition - Pelillo, Marcello

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Synopsis "Similarity-Based Pattern Analysis and Recognition"

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 imagingapplications.

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