Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
Fink, Gernot A.
ISBN 10: 1447163079 ISBN 13: 9781447163077
Editorial: Springer, 2014
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Descripción
Descripción:
Markov Models for Pattern Recognition Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 276 pages, black & white illustrations. BIC Classification: UYQL; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 241 x 163 x 21. Weight in Grams: 580. . 2014. 2nd ed. 2014. Hardcover. . . . . Books ship from the US and Ireland. N° de ref. del artículo V9781447163077
Sinopsis:
This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.
Acerca del autor:
Prof. Dr.-Ing. Gernot A. Fink is Head of the Pattern Recognition Research Group at TU Dortmund University, Dortmund, Germany. His other publications include the Springer title Markov Models for Handwriting Recognition.
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Título: Markov Models for Pattern Recognition: From ...
Editorial: Springer
Año de publicación: 2014
Encuadernación: Encuadernación de tapa dura
Condición: New
Edición: 2ª Edición
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Markov Models for Pattern Recognition : From Theory to Applications
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ISBN 10: 1447163079
ISBN 13: 9781447163077
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Thoroughly revised, updated and expanded new editionExamines pattern recognition systems from the perspective of Markov models, demonstrating how the models can be used in a range of applicationsPlaces special emphasis on practical algorith. Nº de ref. del artículo: 4185617
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Springer London Jan 2014, 2014
ISBN 10: 1447163079
ISBN 13: 9781447163077
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n -best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models. 292 pp. Englisch. Nº de ref. del artículo: 9781447163077
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Markov Models for Pattern Recognition
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Buch. Condición: Neu. Neuware -This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch. Nº de ref. del artículo: 9781447163077
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Markov Models for Pattern Recognition (Hardcover)
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Hardcover. Condición: new. Hardcover. This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models. describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781447163077
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Markov Models for Pattern Recognition : From Theory to Applications
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ISBN 10: 1447163079
ISBN 13: 9781447163077
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