EE/CNS148 *
(*The course is registered as EE/CNS150)
Advanced Topics in Vision.
Visual Recognition.
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EE/CNS148 * (*The course is registered as EE/CNS150)
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Summary:
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Can we teach a machine to recognize frogs, motorcycles and kitchens in images? Such a machine could help us to drive our car, organize our home video collection or search the web by image content. We will explore the current literature on automatic visual recognition with an emphasis on statistical methods. During the course of the quarter the students will develop their own system for recognizing objects, object categories and scenes in images. Please send all questions/comments with respect to the class to Alex Holub directly. |
| Prerequisites: | Some familiarity with either Matlab or C/C++ computer programming. General mathematical maturity is beneficial, including familiarity with probability theory, differential equations, and linear algebra. |
| Grading: | 60% Project, 25% Homework, 15% Paper Presentation |
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Instructor:
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Pietro Perona |
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TA:
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Alex Holub |
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Time and Place:
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Tues-Thurs 10:30-12, 102 STL |
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Details:
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Papers |