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NN
2006
Springer
153views Neural Networks» more  NN 2006»
14 years 10 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
IPM
2007
118views more  IPM 2007»
14 years 10 months ago
Cluster-based patent retrieval
Through the recent NTCIR workshops, patent retrieval casts many challenging issues to information retrieval community. Unlike newspaper articles, patent documents are very long an...
In-Su Kang, Seung-Hoon Na, Jungi Kim, Jong-Hyeok L...
ADHOC
2007
139views more  ADHOC 2007»
14 years 10 months ago
Bounded-distance multi-clusterhead formation in wireless ad hoc networks
We present a clustering technique addressing redundancy for bounded-distance clusters, which means being able to determine the minimum number of cluster-heads per node, and the ma...
Marco Aurélio Spohn, J. J. Garcia-Luna-Acev...
121
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BMCBI
2006
202views more  BMCBI 2006»
14 years 10 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
PRL
2007
115views more  PRL 2007»
14 years 9 months ago
A decomposition scheme for 3D fuzzy objects based on fuzzy distance information
A decomposition scheme for 3D fuzzy objects is presented. The decomposition is guided by a fuzzy distance transform (FDT) of the fuzzy object and aims to decompose the fuzzy objec...
Stina Svensson