CS573 Pattern Recognition

This course introduces students to pattern recognition (Bayesian learning, linear methods, support vector machines, kernels, feature extraction, feature selection, clustering, regularization, and neural networks). Applications in computer vision and networks may be discussed and include image segmentation, object measurement, and classification and estimation.