TY  - GEN
AU  - Escolano,Francisco
AU  - Suau, Pablo- Bonev, Boyan
TI  - Information Theory in Computer Vision and Pattern Recognition 
SN  - 9788132204466
U1  - 003.54 
PY  - 2009///
CY  - London
PB  - Springer
KW  - Computer vision, Pattern recognition systems, Information theory, Intrest Points, Edges, Contour Grouping, Entropy, Discriminative Segmentation, Image and Pattern Clustering, Classifier Design
N1  - 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
ER  -