Selected Topics in Vision and Learning

1-4 credits

Selected topics in computer vision and statistical pattern recognition, with an emphasis on recent developments. Possible topics include grouping and segmentation, object recognition and tracking, multiple view geometry, kernel-based methods, dimensionality reduction, and mixture models. Prerequisites: CSE 252 or equivalent and CSE 250B or equivalent.