UB - University at Buffalo, The State University of New York Computer Science and Engineering

CSE 655: Introduction to Pattern Recognition

Introduction to Pattern Recognition

Foundations of pattern recognition algorithms and machines, including statistical and structural methods. Data structures for pattern representation, feature discovery and selection, classification vs. description, parametric and non-parametric classification, supervised and unsupervised learning, the use of contextual evidence, clustering, and small sample-size problems. Programming projects will include handling of pictorial and textual patterns.

None presently available.




This course does not fulfill core area (depth) or core course (breadth) requirements.

2 years of college mathematics, including probability theory.

Course Instances
Semester Section Title Instructor Credit Hours Enrolled
Spring 2008 LR Pattern Recognition Dr. Jason J. Corso 3 0/ 0
Fall 2002 LR Pattern Recognition Dr. Sargur (Hari) N. Srihari 3 16/40
Fall 1999 LR Pattern Recognition Dr. Sargur (Hari) N. Srihari 3 18/30
Valid XHTML 1.0 Transitional