Information Theory in Computer Vision and Pattern Recognition

Information Theory in Computer Vision and Pattern Recognition

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, Francisco (Author), Suau, Pablo (Author), Bonev, Boyán (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2009.
Subjects:
Computer science.
Mathematical statistics.
Artificial intelligence.
Image processing.
Pattern recognition.
Computer Science.
Image Processing and Computer Vision.
Pattern Recognition.
Probability and Statistics in Computer Science.
Artificial Intelligence (incl. Robotics).
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ΒΚΠ - Πατρα: ALFd

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