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Statistical and Neural Classifiers
Sarunas Raudys
€ 185.71
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Description for Statistical and Neural Classifiers
Hardback. The classification of patterns is an important area of research which is central to all pattern recognition fields - speech, image, and data analysis. This text provides a mathematical and applied introduction to how neural network classifiers work and how they should be used to optimal effect. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 318 pages, 40 black & white illustrations, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 637.
Automatic (machine) recognition, description, classification, and groupings of patterns are important problems in a variety of engineering and scientific disciplines such as biology, psychology, medicine, marketing, computer vision, artificial intelligence, and remote sensing. Given a pattern, its recognition/classification may consist of one of the following two tasks: (1) supervised classification (also called discriminant analysis); the input pattern is assigned to one of several predefined classes, (2) unsupervised classification (also called clustering); no pattern classes are defined a priori and patterns are grouped into clusters based on their similarity. Interest in the area of pattern recognition has been renewed recently due ... Read more
Automatic (machine) recognition, description, classification, and groupings of patterns are important problems in a variety of engineering and scientific disciplines such as biology, psychology, medicine, marketing, computer vision, artificial intelligence, and remote sensing. Given a pattern, its recognition/classification may consist of one of the following two tasks: (1) supervised classification (also called discriminant analysis); the input pattern is assigned to one of several predefined classes, (2) unsupervised classification (also called clustering); no pattern classes are defined a priori and patterns are grouped into clusters based on their similarity. Interest in the area of pattern recognition has been renewed recently due ... Read more
Product Details
Format
Hardback
Publication date
2001
Publisher
Springer London Ltd United Kingdom
Number of pages
318
Condition
New
Series
Advances in Computer Vision and Pattern Recognition
Number of Pages
295
Place of Publication
England, United Kingdom
ISBN
9781852332976
SKU
V9781852332976
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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