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ESANN
1997
13 years 11 months ago
Kohonen maps versus vector quantization for data analysis
Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
Eric de Bodt, Michel Verleysen, Marie Cottrell
TNN
1998
113views more  TNN 1998»
13 years 9 months ago
Image compression by self-organized Kohonen map
—This paper presents a compression scheme for digital still images, by using the Kohonen’s neural network algorithm, not only for its vector quantization feature, but also for ...
C. Amerijckx, Michel Verleysen, Philippe Thissen, ...
ICIP
2005
IEEE
14 years 11 months ago
Analyzing symmetry in biological systems
This paper suggests a new measure of symmetry for bifurcating structures, which relies not only on topology and ordering, but also on quantitative properties (e.g. length of branc...
David Milner, Hagit Hel-Or, Daniel Keren, Shmuel R...
RSCTC
1998
Springer
129views Fuzzy Logic» more  RSCTC 1998»
14 years 2 months ago
On Generalizing Pawlak Approximation Operators
This paper reviews and discusses generalizations of Pawlak rough set approximation operators in mathematical systems, such as topological spaces, closure systems, lattices, and pos...
Y. Y. Yao
DGCI
2006
Springer
14 years 16 hour ago
Fast Polynomial Segmentation of Digitized Curves
We propose a linear-time algorithm for curve segmentation which is based on constructive polynomial fitting. This work extends previous work on constructive fitting by taking the t...
Peter Veelaert, Kristof Teelen