68 search results - page 12 / 14 » The Effect of Nogood Learning in Distributed Constraint Sati... |
IPSN
2010
Springer
15 years 4 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
92
Voted
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
94
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
CONEXT
2010
ACM
14 years 7 months ago
2010
ACM
Traditional DSL troubleshooting solutions are reactive, relying mainly on customers to report problems, and tend to be labor-intensive, time consuming, prone to incorrect resoluti...
101
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RSS
2007
14 years 11 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...