EE 583     PATTERN RECOGNITION

FALL 2010

Course Syllabus

Instructor : Assoc. Prof. A. Aydýn Alatan (C-204, x2351, alatan@eee.metu.edu.tr )

Textbook : Pattern Classification 2nd. Ed ., R.O. Duda, P.E. Hart & D.G. Stork, J. Wiley Inc., 2001  (main textbook)  (Text book web site : http://www.crc.ricoh.com/~stork/DHS.html )

 

Reference books :

Pattern Recognition; Statistical, Structural and Neural Approaches, R. Schalkoff, J. Wiley Inc., 1992.

Syntactic Pattern Recognition, K.S. Fu, Academic Press Inc., 1974 (syntactic pattern recognition part)

Neural Networks for Pattern Recognition, C.M. Bishop, Oxford Univ. Press, 1995. (neural pattern recognition part)

Grading :

                        % 25 2010: Midterm, results  (2009: Midterm, results, 2007: Midterm, results, 2006:  Midterm, results,2005: Midterm, results , 2004: Midterm, results , 2003: Midterm, results, 2002: Midterm, results, 2001: Midterm , results , 2000: Midterm , results )

                        % 35  2010: Final, results (2009: Final , results, 2007: Final , results,  2006: Final, results, 2005: Final, results , 2004: Final, results , 2003: Final, results, 2002: Final, results, 2001: Final , results, 2000: Final, results )

                        % 30  2010: Term Project (2009: Term Project, 2007: Term Project, 2006: Term Project , 2005: Term Project , 2004: Term Project, 2003: Term Project , 2002: Term Project, 2001: Term Project , 2000: Term Project )

                        % 10  2010: 1 , 2 , 3 , 4 (2006: Homework: 1, 2005, 1, 2004: 1, 2003: 1, 2002: 1 , 2,  2001 : 1 , 2 , 3 , 2000 : 1 , 2 , 3 , 4 )

Outline :

Introduction

                        Statistical Pattern Recognition

                                    Bayes Decision Theory

                                    Supervised Learning   (see Direct density est., Parzen window est., Kn nearest neigh. Est.)

                                    Linear Discriminant Functions  (see Perceptron, Ho-Kashyap, MSE approach, SVM )

                                    Unsupervised Learning

Syntactic Pattern Recognition

                                    Overview of SyntPR

                                    SyntPR via Parsing

            SyntPR : Graphical Approaches

Neural Pattern Recognition

                                    NeuroPR : Fundamentals

                                    NeuroPR : Feed-forward networks (see Back propagation demo)

                                    NeuroPR: Nonfeed-forward approaches . (see Hopfield and Kohonen demos)