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ACSC
2005
IEEE
15 years 3 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
JMIV
2006
130views more  JMIV 2006»
14 years 9 months ago
Alternative 2D Shape Representations using the Symmetry Set
Among the many attempts made to represent families of 2D shapes in a simpler way, the Medial Axis (MA) takes a prominent place. Its graphical representation is intuitively appealin...
Arjan Kuijper, Ole Fogh Olsen, Peter J. Giblin, Ma...
DILS
2007
Springer
15 years 3 months ago
Fast Approximate Duplicate Detection for 2D-NMR Spectra
2D-Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical method to elucidate the chemical structure of molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra cor...
Björn Egert, Steffen Neumann, Alexander Hinne...
BMCBI
2010
144views more  BMCBI 2010»
14 years 9 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
BMCBI
2004
136views more  BMCBI 2004»
14 years 9 months ago
A SNP-centric database for the investigation of the human genome
Background: Single Nucleotide Polymorphisms (SNPs) are an increasingly important tool for genetic and biomedical research. Although current genomic databases contain information o...
Alberto Riva, Isaac S. Kohane