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ICPR
2010
IEEE
14 years 1 months ago
CDP Mixture Models for Data Clustering
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
Yangfeng Ji, Tong Lin, Hongbin Zha
ICESS
2007
Springer
14 years 4 months ago
Sleep Nodes Scheduling in Cluster-Based Heterogeneous Sensor Networks Using AHP
Abstract. Wireless sensor networks (WSNs) are comprised of energy constrained nodes. This limitation has led to the crucial need for energy-aware protocols to produce an efficient ...
Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol, Sungy...
CAISE
2003
Springer
14 years 3 months ago
Distributed Data Clustering
Abstract. To make effective use of distributed information, it is desirable to allow coordination and collaboration among various information sources. This paper deals with cluster...
Abdelhamid Bouchachia
IJCAI
2003
13 years 11 months ago
Distributed Clustering Based on Sampling Local Density Estimates
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
Matthias Klusch, Stefano Lodi, Gianluca Moro
TASLP
2011
13 years 4 months ago
Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space
—Time-domain algorithms for blind separation of audio sources can be classified as being based either on a partial or complete decomposition of an observation space. The decompo...
Zbynek Koldovský, Petr Tichavský