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ISNN
2004
Springer
16 years 4 days ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
164
Voted
NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 6 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
132
Voted
NCA
2007
IEEE
16 years 1 months ago
Approximate Analytical Models for Networked Servers Subject to MMPP Arrival Processes
Bruno Ciciani, Andrea Santoro, Paolo Romano
SENSYS
2006
ACM
16 years 22 days ago
Routing and processing multiple aggregate queries in sensor networks
Niki Trigoni, Alexandre Guitton, Antonios Skordyli...