Thunder Bay • Orillia

Summary of Changes Made in This Calendar - Pattern Recognition

Computer Science 5013 Pattern Recognition
Focuses on fundamental concepts of characterizing and recognizing patterns which include Decision Theory, Probability Distributions, Linear Models, Neural Networks, Kernel Methods, Sparse Kernel Methods, Graphical Models, K-means Clustering, Mixture of Gaussians, Principal Component Analysis, and Independent Component Analysis. Discusses automatic discovery of regularities in data through the use of computer algorithms and with the use of these regularities to take actions. Applications of pattern recognition (face recognition, fingerprint recognition, number plate recognition, and speech recognition) will be discussed.
Credit Weight: 0.5
Offering: 3-0; or 3-0
Notes: This course is restricted to students enrolled in the MSc Computer Science