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ICNC
2005
Springer
15 years 11 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
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...
Joseph P. Herbert, Jingtao Yao
DBKDA
2009
IEEE
136views Database» more  DBKDA 2009»
15 years 9 months ago
Visualization and Integration of Databases Using Self-Organizing Map
Abstract--With the growing computer networks, accessible data is becoming increasing distributed. Understanding and integrating remote and unfamiliar data sources are important dat...
Farid Bourennani, Ken Q. Pu, Ying Zhu
CSMR
2004
IEEE
15 years 9 months ago
Architecture-Aware Adaptive Clustering of OO Systems
The recovery of software architecture is a first important step towards re-engineering a software system. Architecture recovery usually involves clustering. The problem with curre...
Markus Bauer, Mircea Trifu
CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
15 years 7 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua
BMCBI
2010
189views more  BMCBI 2010»
15 years 6 months ago
High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABERTOOTH
Background: Protein alignments are an essential tool for many bioinformatics analyses. While sequence alignments are accurate for proteins of high sequence similarity, they become...
Florian Teichert, Jonas Minning, Ugo Bastolla, Mar...