IMAGE AND PATTERN CLASSIFICATION
0 credits during the nd year of 10377 SAFETY ENGINEERING FOR TRANSPORT, LOGISTICS AND PRODUCTION (LM-26) GENOVA
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: By appointment
SEBASTIANO SERPICO (President)
SILVANA DELLEPIANE (President)
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