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Markov Models Pattern Recognition by Gernot Fink (37 results)
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Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
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Markov Models for Pattern Recognition : From Theory to Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 276.
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Markov models for pattern recognition : from theory to applications.
Published by Berlin, Springer, 2008
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
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Add to basketHardcover. Condition: Wie neu. 248 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 735.
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Markov Models for Pattern Recognition : From Theory to Applications
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Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Markov Models for Pattern Recognition : From Theory to Applications
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Markov Models for Pattern Recognition: From Theory to Applications
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
US$ 107.39
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Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 289 pages. 9.25x6.10x0.87 inches. In Stock.
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Condition: New. pp. 292.
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Markov Models for Pattern Recognition : From Theory to Applications
Published by Springer London, Springer London, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
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Add to basketTaschenbuch. 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
Published by Springer London, Springer London Jan 2014, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: 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.
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Markov Models for Pattern Recognition : From Theory to Applications
Published by Springer London, Springer London, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Language: English
US$ 109.01
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Add to basketBuch. 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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Markov Models for Pattern Recognition
Published by Springer London Aug 2016, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: 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.
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Markov Models for Pattern Recognition: From Theory to Applications
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 90.00
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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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Add to basketCondition: New. Print on Demand pp. 276.
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Add to basketCondition: New. PRINT ON DEMAND pp. 276.
