书目名称 | Markov Models for Pattern Recognition |
副标题 | From Theory to Appli |
编辑 | Gernot A. Fink |
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概述 | Covers speech, handwriting recognition, and biological sequence analysis.Both theoretical foundations as well as methods required to build successful applications in practice are presented.Suitable fo |
图书封面 |  |
描述 | .Markov models are used to solve challenging pattern recognition problems on the basis of sequential data as, e.g., automatic speech or handwriting recognition. This comprehensive introduction to the Markov modeling framework describes both the underlying theoretical concepts of Markov models - covering Hidden Markov models and Markov chain models - as used for sequential data and presents the techniques necessary to build successful systems for practical applications...Additionally, the actual use of the technology in the three main application areas of pattern recognition methods based on Markov- Models - namely speech recognition, handwriting recognition, and biological sequence analysis - are demonstrated.. |
出版日期 | Book 20081st edition |
关键词 | Biological Sequence Analysis; Hidden Markov Model; Markov Model; Markov-Models; Pattern Recognition; algo |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-540-71770-6 |
copyright | Springer-Verlag Berlin Heidelberg 2008 |