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149
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ADCM
2008
136views more  ADCM 2008»
15 years 5 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
143
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BIB
2008
86views more  BIB 2008»
15 years 5 months ago
Recent developments in the MAFFT multiple sequence alignment program
The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reas...
Kazutaka Katoh, Hiroyuki Toh
CAGD
2008
109views more  CAGD 2008»
15 years 5 months ago
Detail preserving deformation of B-spline surfaces with volume constraint
Geometric constraints have proved to be helpful for shape modeling. Moreover, they are efficient aids in controlling deformations and enhancing animation realism. The present pape...
Basile Sauvage, Stefanie Hahmann, Georges-Pierre B...
CGF
2008
165views more  CGF 2008»
15 years 5 months ago
GPU-based Fast Ray Casting for a Large Number of Metaballs
Metaballs are implicit surfaces widely used to model curved objects, represented by the isosurface of a density field defined by a set of points. Recently, the results of particle...
Yoshihiro Kanamori, Zoltan Szego, Tomoyuki Nishita
CORR
2006
Springer
93views Education» more  CORR 2006»
15 years 5 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...