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» Feature Subset Selection Using a Genetic Algorithm
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VIS
2006
IEEE
117views Visualization» more  VIS 2006»
16 years 4 months ago
Transfer Function Fusing
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
CLOR
2006
15 years 6 months ago
Components for Object Detection and Identification
We present a component-based system for object detection and identification. From a set of training images of a given object we extract a large number of components which are clust...
Bernd Heisele, Ivaylo Riskov, Christian Morgenster...
BMCBI
2007
113views more  BMCBI 2007»
15 years 3 months ago
In silico panning for a non-competitive peptide inhibitor
Background: Peptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since cos...
Yukiko Yagi, Kotaro Terada, Takahisa Noma, Kazunor...
ACSC
2003
IEEE
15 years 8 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
JMLR
2008
131views more  JMLR 2008»
15 years 2 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...