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» An Adaptive Supersampling Method
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FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
14 years 2 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...
BMCBI
2010
95views more  BMCBI 2010»
13 years 10 months ago
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso
Background: Single nucleotide polymorphism (SNP) based association studies aim at identifying SNPs associated with phenotypes, for example, complex diseases. The associated SNPs m...
Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichua...
BMCBI
2010
156views more  BMCBI 2010»
13 years 10 months ago
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
Background: An adaptive coarse-grained (kinetic) Monte Carlo (ACGMC) simulation framework is applied to reaction and diffusion dynamics in inhomogeneous domains. The presented mod...
Stuart Collins, Michail Stamatakis, Dionisios G. V...
ACL
1997
13 years 11 months ago
Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation
This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learn...
Günter Neumann
ICIAR
2005
Springer
14 years 3 months ago
Soft-Switching Adaptive Technique of Impulsive Noise Removal in Color Images
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which ...
Bogdan Smolka, Konstantinos N. Plataniotis