1084 search results - page 133 / 217 » Hidden Markov Models with Multiple Observation Processes |
146
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UAI
2003
15 years 5 months ago
2003
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
114
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KDD
2009
ACM
15 years 8 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
129
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and...
139
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CAINE
2003
15 years 5 months ago
2003
The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
133
Voted
COLING
2002
15 years 4 months ago
2002
Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title gene...