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ICNC
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
BMCBI
2007
13 years 9 months ago
2007
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
AGI
2011
13 years 21 days ago
2011
Extraordinary structural organization known as emergence is observed in partially ordered sets when a recently discovered functional is minimized. Emergence creates the first stru...
DASFAA
2004
IEEE
14 years 24 days ago
2004
IEEE
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
PR
2006
13 years 9 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...