Prerequisites: EE 114 or STAT 155 or consent of the instructor
Description: Introduction to pattern recognition for multi-dimensional, multi- modal sensor data such as images, videos, and smart grids. Classification and decision functions, feature extraction, regression, and neural networks. Clustering and dimensionality reduction for unsupervised learning. Dynamic models and tracking. Applications of pattern recognition in computer vision, robotics, smart grids, etc.