9781447110712 - statistical and neural classifiers: an integrated approach to design di raudys, sarunas (11 risultati)
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 324.
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. 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 Heid…elberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 318 pages. 9.25x6.10x0.73 inches. In Stock.
Lingua: Inglese
Editore: Springer London, Springer London 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. 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 int…elligence, 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.
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer London 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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 recogniti…on fields, including speech, imag.
Lingua: Inglese
Editore: Springer London Apr 2014 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. 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 th…ese 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.
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 170,49
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Condizione: 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.
Lingua: Inglese
Editore: Springer 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 169,24
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Condizione: New. PRINT ON DEMAND pp. 324.
Lingua: Inglese
Editore: Springer London, Springer London Apr 2014 2014
Serie: Advances in Computer Vision and Pattern Recognition, Libro 26 di 86. Libro 26 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 117,69
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Taschenbuch. 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, ar…tificial 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.
