Units: 4
Hours: Lecture, 3 hours; research, 3 hours
Catalog page 356
Prerequisites: EE 243; graduate standing; or consent of instructor
Description: Study of current topics in computer vision focused on machine learning in computer vision. Topics include machine learning approaches for image classification, segmentation, object detection, recognition, depth estimation, multi-modal analysis, and multi-sensor analysis.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.