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Update of CS 4670 entry in Machine Learning
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Prakhar Srivastav 2016-01-11 02:41:11 -05:00
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@ -651,10 +651,10 @@ Topics covered include probability theory and Bayesian inference; univariate dis
- The study of creating, manipulating, and using visual images in the computer.
- [Assignments](http://www.cs.cornell.edu/Courses/CS4620/2014fa/index.shtml#asgn)
- [Exams](http://www.cs.cornell.edu/Courses/CS4620/2014fa/index.shtml#exams)
- [CS 4670](http://www.cs.cornell.edu/courses/CS4670/2013fa/) **Introduction to Computer Vision** *Cornell University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments"/> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" title="Readings" />
- [CS 4670](http://www.cs.cornell.edu/courses/CS4670/2015sp/) **Introduction to Computer Vision** *Cornell University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments"/> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" title="Readings" />
- This course will provide an introduction to computer vision, with topics including image formation, feature detection, motion estimation, image mosaics, 3D shape reconstruction, and object and face detection and recognition. Applications of these techniques include building 3D maps, creating virtual characters, organizing photo and video databases, human computer interaction, video surveillance, automatic vehicle navigation, and mobile computer vision. This is a project-based course, in which you will implement several computer vision algorithms throughout the semester.
- [Assignments](http://www.cs.cornell.edu/courses/CS4670/2013fa/projects/projects.html)
- [Lectures](http://www.cs.cornell.edu/courses/CS4670/2013fa/lectures/lectures.html)
- [Assignments](http://www.cs.cornell.edu/courses/CS4670/2015sp/projects/projects.html)
- [Lectures](http://www.cs.cornell.edu/courses/CS4670/2015sp/lectures/lectures.html)
- [CS 4700](http://www.cs.cornell.edu/courses/CS4700/2014fa/) **Foundations of Artificial Intelligence** *Cornell University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments"/> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
- This course will provide an introduction to computer vision, with topics including image formation, feature detection, motion estimation, image mosaics, 3D shape reconstruction, and object and face detection and recognition. Applications of these techniques include building 3D maps, creating virtual characters, organizing photo and video databases, human computer interaction, video surveillance, automatic vehicle navigation, and mobile computer vision. This is a project-based course, in which you will implement several computer vision algorithms throughout the semester.
- [Assignments](http://www.cs.cornell.edu/courses/CS4700/2014fa/)