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The applications of pattern recognition techniques to problems of machine vision is the main focus for this course.
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English
English [CC]
FREE
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Description
Topics covered include, an overview of problems of machine vision and pattern classification, image formation and processing, feature extraction from images, biological object recognition, bayesian decision theory, and clustering.
Course content
- Course Introduction Unlimited
- Vision: Feature Extraction Overview Unlimited
- Quick MATLAB® Tutorial Unlimited
- Vision – Feature Extraction I Unlimited
- Part 1: Bayesian Decision Theory Unlimited
- Part 2: Principal and Independent Component Analysis Unlimited
- PR – Density Estimation Unlimited
- PR – Classification Unlimited
- Part 1: Techniques for Clustering Unlimited
- Part 2: An Application of Clustering Unlimited
- App I – Object Unlimited
- App III – Tracking Unlimited
- App IV – Gesture and Action Recognition Unlimited
Instructor
Massachusetts Institute of Technology
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