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Markov Models Pattern Recognition Theory by Fink Gernot (25 results)
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Markov models for pattern recognition : from theory to applications.
Language: English
Published by Berlin, Springer, 2008
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
Seller rating 5 out of 5 stars
Hardcover. Condition: Wie neu. 248 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 735.
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Condition: As New. Unread book in perfect condition.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 73.19
US$ 20.80 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPF. Condition: New.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 76.62
US$ 20.14 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.72
US$ 20.14 shipping
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Markov Models for Pattern Recognition: From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
US$ 106.83
US$ 13.42 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 289 pages. 9.25x6.10x0.87 inches. In Stock.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 119.99
US$ 20.14 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London, Springer London, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Condition: Neu. Markov Models for Pattern Recognition | From Theory to Applications | Gernot A. Fink | Taschenbuch | xiii | Englisch | 2016 | Springer | EAN 9781447171331 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London, Springer London, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 171.45
US$ 20.14 shipping
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Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 160.40
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Add to basketHardcover. Condition: Like New. Like New. book.
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Markov Models for Pattern Recognition : From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 76.02 10% offUS$ 68.42
US$ 123.37 shipping
Ships from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | 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.
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Condition: As New. Unread book in perfect condition.
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Markov Models for Pattern Recognition: From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionSeller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 89.48
US$ 20.47 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 450.
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Markov Models for Pattern Recognition: From Theory to Applications
Book 38 of 86: Advances in Computer Vision and Pattern RecognitionSeller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 122.31
US$ 22.46 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 598.
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Buch. Condition: Neu. Markov Models for Pattern Recognition | From Theory to Applications | Gernot A. Fink | Buch | xiii | Englisch | 2014 | Springer | EAN 9781447163077 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
