Main Books

1. “Αναγνώριση Προτύπων,” S. Theodoridis, K. Koutroumbas, Εκδόσεις Πασχαλίδη – Broken Hill Publishers, Αθήνα 2012
2. “Pattern Classification,” R. O. Duda, P. E. Hart, D. G. Stork, Wiley- Intersience, Second Edition, New York 2001

Course Summary

The course introduces the student to the basic mathematical concepts, as well as to algorithmic classification techniques that are necessary in a variety of applications in the wider field of engineering science. The course offers a comprehensive overview of modern methods for machine recognition of patterns in various applications such as digital image, human sound and speech, grammatically articulated sequences, biomedicine, bioinformatics, etc. The understanding of the theory is achieved through the combination of theoretical and practical assignment exercises.