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Learning in Computer Vision and Image Understanding

Greenspan, Hayit (1994) Learning in Computer Vision and Image Understanding. In: Advances in Neural Information Processing Systems 6. Morgan Kaufmann , San Francisco, CA, pp. 1182-1183. ISBN 1-55860-322-0. https://resolver.caltech.edu/CaltechAUTHORS:20150305-155633585

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Abstract

There is an increasing interest in the area of Learning in Computer Vision and Image Understanding, both from researchers in the learning community and from researchers involved with the computer vision world. The field is characterized by a shift away from the classical, purely model-based, computer vision techniques, towards data-driven learning paradigms for solving real-world vision problems.


Item Type:Book Section
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http://papers.nips.cc/paper/797-learning-in-computer-vision-and-image-understandingOrganizationArticle
Additional Information:© 1994 Morgan Kaufmann.
Record Number:CaltechAUTHORS:20150305-155633585
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150305-155633585
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:55563
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:06 Mar 2015 05:14
Last Modified:03 Oct 2019 08:06

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