Machine learning in computer vision / 
by N. Sebe ... [et al.]. 
 - xv, 240 p. :  ill. ;  25 cm. 
 - Computational imaging and vision ;  v.29 .
<br/><br/>
<br/><br/>Introduction--  Theory : probabilistic classifiers--  Theory : generalization bounds--  Theory : semi-supervised learning--  Algorithm : maximum likelihood minimum entropy HMM--  Algorithm : margin distribution optimization--  Algorithm : learning the structure of Bayesian network classifiers--  Application : office activity recognition--  Application : multimodal event detection--  Application : facial expression recognition--  Application : Bayesian network classifiers for face detection 
<br/><br/><label>ISBN: </label>1402032749 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer vision<br/>Bilgisayar görüntüsü<br/>Machine learning<br/>Makine ile öğrenme
<br/><br/><label>LC Class. No.: </label>TA1634  / .M3154 2005