Prerequisites: EE 240 or EE 243 or consent of instructor
Description: Topics include advanced methods in computer vision and pattern recognition that are evolving and of current interest. May cover novel mathematical tools; analysis of large video databases; machine learning approaches in video computing; camera networks; and biological applications of computer vision.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.