Contact
Comment faire ses achats
Livraison
Guide d'achat
Similarity-Based Pattern Analysis and Recognition
Anglais
317 b
common.delivery_to
Politique de retour sous 30 jours
Ceci pourrait également vous intéresser
/
Livre de poche
19.21
€
/
Livre de poche
3.74
€
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.§
À propos du livre
Anglais
