490 search results - page 44 / 98 » Structural Inference of Hierarchies in Networks |
96
Voted
JMLR
2010
14 years 8 months ago
2010
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
105
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IPCCC
2007
IEEE
15 years 7 months ago
2007
IEEE
LEACH (Low Energy Adaptive Clustering Hierarchy) [1] is one of the popular cluster-based structures, which has been widely proposed in wireless sensor networks. LEACH uses a TDMA ...
107
Voted
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
112
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AI
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
138
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ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. Movies and TV are a rich source of diverse and complex video of people, objects, actions and locales "in the wild". Harvesting automatically labeled sequences o...