1921 search results - page 104 / 385 » Learning from sensor network data |
124
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ESSMAC
2003
Springer
15 years 8 months ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
119
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JCM
2006
15 years 3 months ago
2006
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...
166
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
147
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CIRA
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
132
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EWSN
2004
Springer
16 years 3 months ago
2004
Springer
This paper describes a novel routing mechanism for a network of highly mobile sensor nodes that routes data over dynamically changing topologies, using only information from neares...