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GEOINFORMATICA
2006
116views more  GEOINFORMATICA 2006»
13 years 7 months ago
The Radial Topology Algorithm - A New Approach for Deriving 2.5D GIS Data Models
In this paper a new method for the combination of 2D GIS vector data and 2.5D DTM represented by triangulated irregular networks (TIN) to derive integrated triangular 2.5D object-b...
Ulrich Lenk, Christian Heipke
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
14 years 2 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
DCC
2008
IEEE
14 years 7 months ago
Compression of Hyperspectral Images with LVQ-SPECK
We discuss the use of lattice vector quantizers in conjunction with a quadtree-based sorting algorithm for the compression of multidimensional data sets, as encountered, for examp...
Alessandro J. S. Dutra, William A. Pearlman, Eduar...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
VMV
2000
157views Visualization» more  VMV 2000»
13 years 9 months ago
Visualization of Principal Curvature Directions by Anisotropic Diffusion
Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
Udo Diewald, Martin Rumpf