Verwandte Artikel zu Markov Models for Pattern Recognition: From Theory...
Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition) - Softcover
Críticas
From the book reviews:
“The book is highly appropriate for researchers and practitioners dealing with pattern recognition in general and speech, character and handwriting recognition sequences, in particular.” (Catalin Stoean, zbMATH 1307.68001, 2015)
Reseña del editor
This book places the formalism of Markov chain and hidden Markov models at the very center of its examination of current pattern recognition systems, demonstrating how the models can be used in a range of different applications.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagSpringer
- Erscheinungsdatum2016
- ISBN 10 1447171330
- ISBN 13 9781447171331
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten292
Neu kaufen
Diesen Artikel anzeigen
EUR 68,22
EUR 14,16 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Suchergebnisse für Markov Models for Pattern Recognition: From Theory...
Beispielbild für diese ISBN
Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9781447171331_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Markov Models for Pattern Recognition : From Theory to Applications
Verlag:
Springer London, Springer London, 2016
ISBN 10: 1447171330
ISBN 13: 9781447171331
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Artikel-Nr. 9781447171331
Anzahl: 1 verfügbar