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» Developments of the generative topographic mapping
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EUROCOLT
1999
Springer
14 years 1 days ago
Regularized Principal Manifolds
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
Alex J. Smola, Robert C. Williamson, Sebastian Mik...
VMV
2003
165views Visualization» more  VMV 2003»
13 years 9 months ago
C1-Continuous Terrain Reconstruction from Sparse Contours
Contour lines from topographic maps are still the most common form of elevation data for the Earth’s surface and in the case of historical landscapes, they often are the only av...
Kai Hormann, Salvatore Spinello, Peter Schröd...
ENVSOFT
2008
141views more  ENVSOFT 2008»
13 years 7 months ago
Geomorphometric landscape analysis using a semi-automated GIS-approach
This paper presents LANDFORM, a customized GIS application for semi-automated classification of landform elements, based on topographic attributes like curvature or elevation perc...
Bernhard Klingseisen, Graciela Metternicht, Gernot...
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
Generating samples for association studies based on HapMap data
Background: With the completion of the HapMap project, a variety of computational algorithms and tools have been proposed for haplotype inference, tag SNP selection and genome-wid...
Jing Li, Yixuan Chen
BMCBI
2004
166views more  BMCBI 2004»
13 years 7 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...