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IMCSIT
2010
13 years 6 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
EVOW
2005
Springer
14 years 1 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
ICPR
2008
IEEE
14 years 2 months ago
A robust technique for text extraction in mixed-type binary documents
A crucial preprocessing stage in applications such as OCR is text extraction from mixed-type documents. The present work, in contrast to most until now, successfully faces the pro...
Charalambos Strouthopoulos, Athanasios Nikolaidis
ENGL
2007
180views more  ENGL 2007»
13 years 8 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
ESANN
2004
13 years 9 months ago
Theory and applications of neural maps
In this tutorial paper about neural maps we review the current state in theoretical aspects like mathematical treatment of convergence, ordering and topography, magnification and o...
Thomas Villmann, Udo Seiffert, Axel Wismüller