Pattern Recognition

ECSE-6610

Structure of pattern classification problems. Mathematics of statistical decision theory: random vectors, multivariate probability functions, discriminants, parametric and nonparametric techniques, Bayesian and maximum likelihood estimation, feature selection, dimensionality reduction, whitening transformations. Adaptive methods and clustering. Five programming assignments and a term paper.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Pattern Recognition (3c)
  • Birsen Yazici
Seats Taken: 0/30
2022
Pattern Recognition (3c)
  • Birsen Yazici
Seats Taken: 9/30
2021
Pattern Recognition (3c)
  • Birsen Yazici
Seats Taken: 8/30
2020
Pattern Recognition (3c)
  • Birsen Yazici
Seats Taken: 19/30
2019
Pattern Recognition (3c)
  • Birsen Yazici
Seats Taken: 14/17
2018
Course Syllabus Ecse – 6610 Pattern Recognition (3c)
  • Chengjiang Long
Seats Taken: 18/36
Pattern Recognition (3c)
  • Birsen Yazici
Seats Taken: 12/42
2017
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 22/36
2016
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 23/36
2015
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 9/36
2014
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 14/40
2013
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 18/32
2012
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 13/32
2011
Pattern Recognition (3c)
  • Qiang Ji
Seats Taken: 20/32
2010
Pattern Recognition (3c)
  • Arthur C Sanderson
Seats Taken: 18/32
2009
2008
Pattern Recognition (3c)
  • George Nagy
Seats Taken: 12/34
2007
Pattern Recognition (3c)
  • George Nagy
Seats Taken: 11/25