A study of inference from noisy and uncertain data using probabilistic, statistical, data-driven approaches. Topics include image processing; segmentation, grouping, and boundary detection; recognition and detection; motion estimation and structure from motion. Prerequisites: grade of C or higher in CSCI 202; STAT 185 or 225. Even years Spring.

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