CS 3790 PATTERN RECOGNITION (ECE 2372)

Description

Emphasis on machine pattern recognition and learning: Bayes decision theory, parameter estimation, Bayesian belief networks, discriminant functions, supervised learning, nonparametric techniques, feature extraction, principal component analysis, hidden Markov models, expectation-maximization, support vector machines, artificial neural networks, unsupervised learning, clustering, and syntactic pattern recognition.

  • Credits: Variable
  • Frequency: Every term

Prerequisites

Requirements and Grading

Current Sections

Spring 2017

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
16343 TH 11:30 am - 12:45 pm BENDM G37 CS/6 LEC TERM

Past Sections

To view the sections for a term, click on it's name below.

Spring 2016

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
16934 TH 11:30 am - 12:45 pm BENDM G37 C. Li
CS/6 LEC TERM