Kniha Similarity-Based Pattern Analysis and Recognition Marcello Pelillo

Similarity-Based Pattern Analysis and Recognition

Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer London Ltd
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
100.00
This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean s...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2013
Stránok
291
EAN
9781447156277
ISBN
1447156277
Enbook ID
02179455
Vydavateľ
Hmotnosť
574
Rozmery
164 x 241 x 17

Kompletný popis

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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