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Condizione: New.
Condizione: New. pp. 324.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Statistical and Neural Classifiers | An Integrated Approach to Design | Sarunas Raudys | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xxiii | Englisch | 2014 | Springer | EAN 9781447110712 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 318 pages. 9.25x6.10x0.73 inches. In Stock.
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Springer London, Springer London, 2014
ISBN 10: 1447110714 ISBN 13: 9781447110712
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 122,12
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 to emerging applications which are not only challenging but also computationally more demanding (e. g. , bioinformatics, data mining, document classification, and multimedia database retrieval). Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have received increased attention. Neural networks and statistical pattern recognition are two closely related disciplines which share several common research issues. Neural networks have not only provided a variety of novel or supplementary approaches for pattern recognition tasks, but have also offered architectures on which many well-known statistical pattern recognition algorithms can be mapped for efficient (hardware) implementation. On the other hand, neural networks can derive benefit from some well-known results in statistical pattern recognition.
Condizione: New.
Condizione: New. pp. 320.
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 289 pages. 6.50x9.75x1.25 inches. In Stock.
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number of these fields, but so far their application has been based on a 'black box approach' with no real understanding of how they work. In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they should be used. . 324 pp. Englisch.
Da: moluna, Greven, Germania
EUR 98,54
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the state of the art in this important areaShows the reader how neural network classifiers actually workThe classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, imag.
Da: Majestic Books, Hounslow, Regno Unito
EUR 165,77
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 324 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 166,78
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 324.
Lingua: Inglese
Editore: Springer London, Springer London Apr 2014, 2014
ISBN 10: 1447110714 ISBN 13: 9781447110712
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 117,69
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 to emerging applications which are not only challenging but also computationally more demanding (e. g. , bioinformatics, data mining, document classification, and multimedia database retrieval). Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have received increased attention. Neural networks and statistical pattern recognition are two closely related disciplines which share several common research issues. Neural networks have not only provided a variety of novel or supplementary approaches for pattern recognition tasks, but have also offered architectures on which many well-known statistical pattern recognition algorithms can be mapped for efficient (hardware) implementation. On the other hand, neural networks can derive benefit from some well-known results in statistical pattern recognition.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch.
Da: moluna, Greven, Germania
EUR 137,26
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the state of the art in this important areaShows the reader how neural network classifiers actually workThe classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, imag.
Da: Majestic Books, Hounslow, Regno Unito
EUR 224,01
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 320 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 220,93
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 320.