2018-19 Spring - MATH4983F - Independent Study: Introduction to Mathematics of Face Classification

Course

Description

The course introduces clustering technique to divide a set of face images into different groups or clusters so that each resulting cluster contains faces with similar characteristics. Students will learn and compare the performance of different clustering techniques by applying these methods on different datasets and evaluating their performances. Students should seek approval from the instructor to take this course.
Course period1/02/1930/06/19
Course levelUG
Course formatLecture