Universita' di Napoli Federico II e Seconda Universita' degli Studi di Napoli

PATTERN RECOGNITION (I part) (Dottorato)

Prof. Francesco Palmieri


The course is reserved to doctoral students in Engineering and Science curricula. Attendance to the course is free upon request to the coordinator.

SCHEDULE:

Tuesday 20.05.2008, 10:00-12:00
Wednesday 28.05.2008, 10:30-12:30
Tuesday 03.06.2008, 10:30-12:30
Tuesday 10.06.2008, 10:30-12:30
Thursday 12.06.2008, 10:30-12:30
Tuesday 17.06.2008, 9:30-11:30
Thursday 19.06.2008, 10:30-12:30
Tuesday 24.06.2008, 10:30-12:30

Lectures will be held at PICO (Palazzo dell'Informazione e della Comunicazione) via Terracina (angolo via Marconi) Napoli.


Program (1st part):
Introduction to the Pattern Recognition Problem
Bayesian Decision Theory: Risk minimization; Minimum error; Minimax.
Discriminant Functions
The Gaussian case
Bound for the error probability
ROC curves
Discrete features
Pattern recognition in the presence of missing and noisy features
Parameter estimation
Maximum likelihood
Bayes Estimation
Introduction to Bayesian Networks and Factor graphs
Unsupervised learning
The EM algorithm
Learning a Gaussian Mixture



Textbook:
R. O. Duda, P. E. Hart, D. G. Stork, Pattern Calssification. Second Edition, Morgan Kaufman 2000. Chapter 1,2, 3, 10

More information will be available here soon. francesco.palmieri@unina2.it