866 search results - page 20 / 174 » Networked Slepian-Wolf: Theory and Algorithms |
215
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JMLR
2012
13 years 8 months ago
2012
In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...
151
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ESWA
2008
15 years 6 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
184
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MOBIHOC
2008
ACM
16 years 5 months ago
2008
ACM
A Connected Dominating Set (CDS) working as a virtual backbone is an effective way to decrease the overhead of routing in a wireless sensor network. Furthermore, a kConnected m-Do...
166
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AAAI
2008
15 years 8 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
160
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KAIS
2000
15 years 6 months ago
2000
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...