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Trainable visual models for object classification

Trainable visual models for object classification

This video was recorded at Workshop on Pattern Recognition and Machine Learning in Computer Vision, Grenoble 2004. The general theme of the tutorial will be 'trainable visual models for object classification'. I will cover: the difficulty of the problem a few approaches Perona and Welling Pictorial structures of Felzenszwalb and Huttenlocher Borenstein and Ullman Agarwal and Roth Leibe and Schiele covering the method, invariance, data preparation and then go into detail on the constellation model end with research challenges
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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