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» An Approach for Method Reengineering
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142
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NN
2006
Springer
146views Neural Networks» more  NN 2006»
15 years 3 months ago
Comparison of relevance learning vector quantization with other metric adaptive classification methods
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
Thomas Villmann, Frank-Michael Schleif, Barbara Ha...
IEICET
2007
127views more  IEICET 2007»
15 years 3 months ago
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Signi...
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, ...
SIAMSC
2008
90views more  SIAMSC 2008»
15 years 3 months ago
Norm Preconditioners for Discontinuous Galerkin hp-Finite Element Methods
We consider a norm-preconditioning approach for the solution of discontinuous Galerkin finite element discretizations of second order PDE with non-negative characteristic form. In ...
Emmanuil H. Georgoulis, Daniel Loghin
140
Voted
ICPR
2006
IEEE
16 years 4 months ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
124
Voted
ISBI
2008
IEEE
16 years 4 months ago
Variational B-spline level-set method for fast image segmentation
In the field of image segmentation, most of level-set-based active contour approaches are based on a discrete representation of the associated implicit function. We present in thi...
Olivier Bernard, Denis Friboulet, Philippe Th&eacu...