Robust computer vision: theory and applications
Auteur :
Sebe, Nicu
Éditeur :
Sebe, NicuLew, Michael S.,
ISBN :
9781402012938
Date de publication :
1 avr. 2003
Dimensions :
29,7 x 21,0 x 1,4 cm
Poids :
504 g
Format :
Laminated cover
Langue :
Anglais
Pays d'origine :
USA
Describing some of the probabilistic machine learning methods, this work uses Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models. Designed for both experts and novices in computer vision, it focuses on three aspects: features, similarity metric, and models.