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Titlebook: Image Models (and their Speech Model Cousins); Stephen E. Levinson,Larry Shepp Conference proceedings 1996 Springer-Verlag New York, Inc.

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發(fā)表于 2025-3-23 10:11:16 | 只看該作者
Don X. Sun,Li Dengurement data for testing and analysis. The simulation results show that the adopted technical method has the ability to detect data anomalies and ensures that the relative positioning ambiguity of Beidou is fixed. Compared with the reference baseline value, the relative positioning accuracy of Beido
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發(fā)表于 2025-3-23 16:04:06 | 只看該作者
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發(fā)表于 2025-3-23 18:11:18 | 只看該作者
tion provided by AHRS can improve the model strength, effectively reduce the requirement of RAIM algorithm on the number of visible satellites, and improve the availability of RAIM algorithm in complex urban environments. Compared with the traditional RAIM algorithm, the proposed method enhances the
14#
發(fā)表于 2025-3-24 02:05:20 | 只看該作者
0940-6573 ncing (Nelson). Most of the partici- pants were in the main areas of speech or emission density reconstruction. Of course, there are many other areas where maxi978-1-4612-8482-6978-1-4612-4056-3Series ISSN 0940-6573 Series E-ISSN 2198-3224
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發(fā)表于 2025-3-24 04:05:29 | 只看該作者
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發(fā)表于 2025-3-24 11:10:24 | 只看該作者
Direct Parsing of Text,with the traditional procedure: a grammar has to be designed, usually by hand, and corresponding text analysis yields highly ambiguous parses. For some time now, attempts have been made to extract the grammar automatically from data, attach probabilities to its productions, and resolve the parsing a
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發(fā)表于 2025-3-24 15:31:24 | 只看該作者
19#
發(fā)表于 2025-3-24 18:59:18 | 只看該作者
Non-Stationary Hidden Markov Models for Speech Recognition,iliary parameters. Although the auxiliary parameters are of no interest in themselves for modeling speech sound patterns, they provide an intermediate tool for achieving maximal accuracy in estimating the parameters of the regression models.
20#
發(fā)表于 2025-3-24 23:28:16 | 只看該作者
Conference proceedings 1996kelihood is used, some of which are represented in this volume: parsing of text (Jelinek), microstruc- ture of materials (Ji), and DNA sequencing (Nelson). Most of the partici- pants were in the main areas of speech or emission density reconstruction. Of course, there are many other areas where maxi
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