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ICASSP
2010
IEEE
14 years 10 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ICPADS
2005
IEEE
15 years 3 months ago
HON-P2P: A Cluster-based Hybrid Overlay Network for Multimedia Object Management
Abstract— Multimedia centric P2P must take into consideration the main characteristics and the complex relationships among multimedia objects. In this paper, we propose a cluster...
Mouna Kacimi, Kokou Yétongnon, Yinghua Ma, ...
COOPIS
2003
IEEE
15 years 3 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
JELIA
2004
Springer
15 years 3 months ago
Hierarchical Decision Making by Autonomous Agents
Abstract. Often, decision making involves autonomous agents that are structured in a complex hierarchy, representing e.g. authority. Typically the agents share the same body of kno...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
ISPAN
1999
IEEE
15 years 2 months ago
Distributed Clustering for Ad Hoc Networks
A Distributed Clustering Algorithm DCA and a Distributed Mobility-Adaptive Clustering DMAC algorithm are presented that partition the nodes of a fully mobile network ad hoc networ...
Stefano Basagni