Information Theory in Computer Vision and Pattern Recognition

Information Theory in Computer Vision and Pattern Recognition by Francisco Escolano Ruiz, Pablo Suau Pérez, Boyán Ivanov Bonev.

Information Theory (IT) can be highly effective for formulating and designing algorithmic solutions to many problems in Computer Vision and Pattern Recognition (CVPR). This text introduces and explores the measures, principles, theories, and entropy estimators from IT underlying modern CVPR algorith...

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Bibliographic Details
Main Authors: Escolano Ruiz, Francisco (Author), Suau Pérez, Pablo (Author), Bonev, Boyán Ivanov (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Springer eBook Collection.
Subjects:
Optical data processing.
Pattern recognition.
Mathematical statistics.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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