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ESANN
2004
13 years 6 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
CORR
2007
Springer
132views Education» more  CORR 2007»
13 years 4 months ago
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Go...
ICARCV
2006
IEEE
164views Robotics» more  ICARCV 2006»
13 years 10 months ago
Fast Object Extraction from Bayesian Occupancy Grids using Self Organizing Networks
— Despite their popularity, occupancy grids cannot be directly applied to problems where the identity of the objects populating an environment needs to be taken into account (eg ...
Dizan Vasquez, Fabrizio Romanelli, Thierry Fraicha...
MLDM
2007
Springer
13 years 10 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...
DATAMINE
1999
140views more  DATAMINE 1999»
13 years 4 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...