Mar 29, 2024  
2012-2013 Graduate Catalogue 
    
2012-2013 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.


Click here for the Spring 2024 Class Schedule.