ECE 532: Theory and Applications of Pattern Recognition
2015 Fall Semester
ECE 532 is an introduction to machine
learning and pattern recognition that focuses on matrix methods and
features real-world applications, ranging from classification and
clustering to denoising and data analysis.
Open to all
students with a basic
mathematics and computing background.
Instructors:
Robert Nowak and Laurent Lessard
Lectures:
Monday and Wednesday, 11:00am-12:15pm, 2317 Engineering Hall
Office Hours:
Monday, 12:15-1PM, 3539 Engineering Hall
Tuesday, 4-5PM, 3539 Engineering Hall
Textbook: Matrix Methods in Data Mining and Pattern Recognition
Software: Matlab or Python / IPython
Course Overview and Syllabus