In this course several statistical pattern recognition techniques are presented and their application to images from real domains are discussed: • Decision Theory • Supervised Probability Density Estimate • Feature Reduction • Linear and Nonlinear Classifiers (k-nn, SVMs, NNs). • Error Probability of Supervised Classifiers • Unsupervised Classifiers (Clustering) • Fuzzy Classifiers • Contextual image classification
Ricevimento: Su appuntamento.
SILVANA DELLEPIANE (Presidente)
SEBASTIANO SERPICO (Presidente)
GABRIELE MOSER
Come da Calendario didattico
Esame orale
