Cap 00 - Il corso
(pdf, it, 395 KB, 11/03/11)
Cap 01 - Introduzione
(pdf, it, 916 KB, 11/03/11)
Cap 02 - Teoria di Bayes
(pdf, it, 1008 KB, 11/03/11)
Cap 03 - Estrazione di features
(vnd.ms-powerpoint, it, 1366 KB, 11/03/11)
Cap 04 - Stime parametriche ML, EM, stima Bayesiana
(vnd.ms-powerpoint, it, 4173 KB, 25/03/11)
Cap 05 - Stime non parametriche
(pdf, it, 1602 KB, 01/04/11)
Cap 06bis - Observed Influence Model
(vnd.ms-powerpoint, it, 4036 KB, 29/04/11)
Cap 06 - Modelli generativi
(pdf, it, 2291 KB, 13/04/11)
Cap 07 - Modelli discriminativi
(pdf, it, 3378 KB, 05/05/11)
Cap 08 - Reti neurali
(pdf, it, 796 KB, 19/05/11)
Cap 09bisbis - Validazione clustering
(pdf, it, 492 KB, 27/05/11)
Cap 09bis - Clustering non parametrico
(pdf, it, 3242 KB, 19/05/11)
Cap 09 - Clustering
(pdf, it, 776 KB, 19/05/11)
Cap 10 - (Arg.Av.) Descrittori di forma
(pdf, it, 1175 KB, 27/05/11)
Lab 01 - Intro e Teoria di Bayes
(zip, it, 7076 KB, 15/03/11)
Lab 02 - PCA e Eigenfaces
(zip, it, 4973 KB, 13/04/11)
Lab 03 - Tracking
(zip, it, 2 KB, 19/04/11)
Lab 04 - HMM
(zip, it, 570 KB, 19/05/11)
Lab 05 - Clustering come segmentazione
(zip, it, 6 KB, 10/06/11)
Progetto finale
(pdf, it, 629 KB, 20/05/11)
