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CS 231A Computer Vision (Fall 2011) Problem Set 4 Due: Nov. 30th, 2011 (9:30am) 1 Part-based models for Object Recognition (50 points) One approach to object recognition is to use a deformable part-based

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What is cs 231a computer vision?

CS 231A Computer Vision is a course offered at Stanford University that focuses on the theory and algorithms used in computer vision.

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Students enrolled in CS 231A Computer Vision course at Stanford University are required to file the course assignments and projects.

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To fill out CS 231A Computer Vision assignments and projects, students need to follow the instructions provided by the course instructors and submit their work electronically through the designated channels.

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The purpose of CS 231A Computer Vision course is to provide students with a comprehensive understanding of computer vision theory and algorithms, enabling them to develop applications and systems that can interpret and understand visual data.

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The specific information that must be reported on CS 231A Computer Vision assignments and projects may vary depending on the instructions provided by the course instructors. Typically, it includes code implementations, theoretical explanations, and experimental results related to computer vision algorithms and tasks.

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