Pattern Recognition (CMPE467) Course Details

Course Name: Pattern Recognition
Code: CMPE467
Pre-requisite Course(s):
Objective: The objective of the course is to make student familiar with general approaches such as Bayes classification, discriminant functions, decision trees, nearest neighbor rule, neural networks for pattern recognition.
Content: Bayes decision theory, classifiers, discriminant functions and decision surfaces, estimation of parameters, hidden Markov models, nearest neighbor methods; linear discriminant functions; neural networks; decision trees; hierarchical clustering; self organizing feature maps.
Term: Both
Theory: 3
Application: 0
Laboratory: 0
Credit: 3
ECTS Course File: Course File
Course File: