Dec 07, 2022  
2017-2018 Graduate Catalogue 
    
2017-2018 Graduate Catalogue Archived Catalogue

CSC 577 - Pattern Recognition

Credits: 3
Prerequisite: CSC 340  or equivalent. This course introduces pattern recognition methods and theory using conventional statistical approaches, neural networks, fuzzy logic, support vectors, and linear principal component analysis (PCA). The course also presents methods for non-linear PCA, clustering, and feature extraction. Students implement algorithms; apply methods to selected problems, and to document findings.

Repeat Policy:
Course may only be taken once for credit


Click here for the Fall 2022 Class Schedule.