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The ITinCVPR book ...
 
Information Theory in Computer Vision and Pattern Recognition
Talk at IMATI - CNR Print
Monday, 15 February 2010 23:47

Slides for the talk "Information Theory in Graphs", by Francisco Escolano

Istituto di Matematica Applicata e Tecnologie Informatiche - CNR (Genova)

February 19th, 2010

 

Slides Preview

(PDF, 28MB)

 

 

 
ITinCVPR tutorial in CVPR'10 Print
Wednesday, 27 January 2010 11:30

Tutorial: Advanced ITinCVPR in a Nutshell

Francisco Escolano and Anand Rangarajan. To be held in CVPR'2010.
Course description

 

Last Updated on Wednesday, 27 January 2010 12:12
 
In press Print
Wednesday, 27 January 2010 09:57

An article about microarray feature selection and the ITinCVPR book in the spanish newspaper "Diario Información". Full article scan.

 

 

Last Updated on Wednesday, 27 January 2010 21:39
 
The genesis of the ITinCVPR book Print
Wednesday, 27 January 2010 17:37

 

 

 

 

 

 

 

Information Theory in Computer Vision and Pattern Recognition presentation by Edwin Hancock (streaming video, 30 minutes).

 

Last Updated on Wednesday, 03 February 2010 10:45
 
About the ITinCVPR book Print
Wednesday, 15 July 2009 16:35

Information Theory in Computer Vision and Pattern Recognition

Francisco Escolano, Pablo Suau, Boyan Bonev

2009, Approx. 410 p. 126 illus., Hardcover

Springer; ISBN: 978-1-84882-296-2

With foreword by Alan Yuille.

 

 

Information theory has found widespread use in modern computer vision, and provides one of the most powerful current paradigms in the field. To date, though, there has been no text that focusses on the needs of the vision or pattern recognition practitioner who wishes to find a concise reference to the subject. This text elegantly fills this gap in the literature. The approach is rigorous, yet lucid and furnished with copious real world examples.

Professor Edwin Hancock, D.Sc., FIAPR, FInstP, FIET, FBCS,
Royal Society Wolfson Research Merit Award Holder,
Head CVPR Group and Chair Department Research Committee,
Department of Computer Science, University of York

 

 

Far from being a shotgun wedding or arranged marriage between information theory and image analysis, this book succeeds at explicating just why these two areas are made for each other.

Associate Professor Anand Rangarajan,
Department of Computer & Information Science and Engineering,
University of Florida, Gainesville



(© 2009, Springer)

 

Last Updated on Wednesday, 27 January 2010 11:34