Facebook
LISTEN

Course Catalog

EE 566 Pattern Recognition 3 Credits
Statistical Pattern Recognition: Parameter Estimation and Supervised Learning, Bayesian Decision Theory, nonparametric approaches (Parzen windows, Nearest Neighbor), Linear Discriminant Functions, Feature extraction/selection; Pattern Recognition via Neural Networks; Syntactic Pattern Recognition; Nonmetric Methods, Unsupervised Learning and Clustering, Hidden Markov Models, Classifier Combination

Last Offered Terms Course Name SU Credit
Spring 2020-2021 Pattern Recognition 3
Spring 2014-2015 Pattern Recognition 3
Spring 2013-2014 Pattern Recognition 3
Spring 2012-2013 Pattern Recognition 3
Spring 2011-2012 Pattern Recognition 3
Spring 2010-2011 Pattern Recognition 3
Spring 2009-2010 Pattern Recognition 3
Spring 2007-2008 Pattern Recognition 3
Fall 2006-2007 Pattern Recognition 3
Fall 2005-2006 Pattern Recognition 3
Fall 2004-2005 Pattern Recognition 3
Fall 2003-2004 Pattern Recognition 3
Fall 2002-2003 Pattern Recognition 3
Spring 2001-2002 Pattern Recognition 3

Prerequisite: __
Corequisite: __
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: