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BL
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| Record Number
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890571
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| Title & Author
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Hidden Markov models : : applications in computer vision /\ edited by Horst Bunke and Terry Caelli.
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| Publication Statement
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Singapore ;River Edge, NJ :: World Scientific,, ©2001.
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| Series Statement
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Series in machine perception and artificial intelligence ;; v. 45
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| Page. NO
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1 online resource.
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| ISBN
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9789812797605
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: 9812797602
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9789810245641
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9810245645
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9812797602
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| Notes
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Also issued as: International journal of pattern recognition and artificial intelligence, v. 15, no. 1 (Feb. 2001).
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Preface / H. Bunke and T. Caelli -- Introduction: A simple complex in artificial intelligence and machine learning / B.H. Juang -- An introduction to hidden Markov models and Bayesian networks / Z. Ghahramani -- Multilingual machine printed OCR / P. Natarajan [and others] -- Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system / U.-V. Marti & H. Bunke -- A 2-D HMM method for offline handwritten character recognition / H.-S. Park [and others] -- Data-driven design of HMM topology for online handwriting recognition / J.J. Lee, J. Kim & J.H. Kim -- Hidden Markov models for modeling and recognizing gesture under variation / A.D. Wilson & A.F. Bobick -- Sentence lipreading using hidden Markov model with integrated grammar / K. Yu, X. Jiang & H. Bunke -- Tracking and surveillance in wide-area spatial environments using the abstract hidden Markov model / H.H. Bui, S. Venkatesh & G. West -- Shape tracking and production using hidden Markov models / T. Caelli, A. McCabe & G. Briscoe -- An integrated approach to shape and color-based image retrieval of rotated objects using hidden Markov models / S. Milller, S. Eickeler & G. Rigoll.
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| Abstract
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Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval. This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).
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| Subject
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Computer vision-- Mathematical models.
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| Subject
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Markov processes.
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Optical pattern recognition-- Mathematical models.
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Computer vision-- Mathematical models.
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| Subject
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COMPUTERS-- Computer Vision Pattern Recognition.
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| Subject
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Markov processes.
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| Subject
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Optical pattern recognition-- Mathematical models.
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| Dewey Classification
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006.37
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| LC Classification
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TA1634
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| Added Entry
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Bunke, Horst.
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Caelli, Terry.
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