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Guest Editorial

Freeman, William and Perona, Pietro and Schölkopf, Bernhard (2008) Guest Editorial. International Journal of Computer Vision, 77 (1-3). p. 1. ISSN 0920-5691. doi:10.1007/s11263-008-0127-7.

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Computational Vision and Machine Learning have become synergistic fields of research. Modern machine learning techniques have improved the state of the art in computer vision and catalized re-thinking of key problems, such as recognition and tracking. In turn, vision has broadened the scope of machine learning, offering rich new challenges and highlighting the importance of representations.

Item Type:Article
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URLURL TypeDescription ReadCube access
Freeman, William0000-0003-3559-5270
Perona, Pietro0000-0002-7583-5809
Additional Information:© Springer Science+Business Media, LLC 2008.
Subject Keywords:Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence (incl. Robotics), Computer Imaging, Vision, Pattern Recognition and Graphics
Issue or Number:1-3
Record Number:CaltechAUTHORS:20140730-101716153
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:47590
Deposited By: Caroline Murphy
Deposited On:25 Aug 2014 21:45
Last Modified:10 Nov 2021 17:48

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