Information Theory in Computer Vision and Pattern Recognition

By:

Escolano, Francisco

Contributor(s):

Suau, Pablo- Bonev, Boyan

Publication details: London Springer 2009Description: xvii; 355ISBN:

9788132204466

Subject(s):

Computer vision, Pattern recognition systems, Information theory, Intrest Points, Edges, Contour Grouping, Entropy, Discriminative Segmentation, Image and Pattern Clustering, Classifier Design

DDC classification:

003.54 ESC-I

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Barcode
Book	Air University Central Library Islamabad Computer Science	Computer Science	003.54 ESC-I (Browse shelf(Opens below))	Available	Program Relevancy: MSCS; Course Relevancy: Computer vision	P10657

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Researchers are bringing information theory elements to the computer vision and pattern recognition (CVPR) arena. Among these elements there are measures (entropy, mutual information), principles (maximum entropy, minimax entropy) and theories (rate distortion theory, method of types). This book explores the latter elements

Includes References, Index, Color Plates

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Information Theory in Computer Vision and Pattern Recognition

Browsing Air University Central Library Islamabad shelves, Shelving location: Computer Science , Collection: Computer Science Close shelf browser (Hides shelf browser)