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VISUALIZATION
2000
IEEE
14 years 2 months ago
A continuous clustering method for vector fields
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Harald Garcke, Tobias Preußer, Martin Rumpf,...
JCC
2008
132views more  JCC 2008»
13 years 10 months ago
The implementation of a fast and accurate QM/MM potential method in Amber
Abstract: Version 9 of the Amber simulation programs includes a new semi-empirical hybrid QM/MM functionality. This includes support for implicit solvent (generalized Born) and for...
Ross C. Walker, Michael F. Crowley, David A. Case
JMLR
2006
124views more  JMLR 2006»
13 years 10 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
MEMOCODE
2003
IEEE
14 years 3 months ago
MoDe: A Method for System-Level Architecture Evaluation
System-level design methodologies for embedded HW/SW systems face several challenges: In order to be susceptible to systematic formal analysis based on state-space exploration, a ...
Jan Romberg, Oscar Slotosch, Gabor Hahn