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BMCBI
2004
205views more  BMCBI 2004»
14 years 9 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
14 years 8 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
IROS
2009
IEEE
111views Robotics» more  IROS 2009»
15 years 4 months ago
An exploration method for general robotic systems equipped with multiple sensors
Abstract— This paper presents a novel method for sensorbased exploration of unknown environments by a general robotic system equipped with multiple sensors. The method is based o...
Luigi Freda, Giuseppe Oriolo, Francesco Vecchioli
SIGGRAPH
1989
ACM
15 years 2 months ago
A general two-pass method integrating specular and diffuse reflection
We analyse some recent approaches to the global illumination problem by introducing the corresponding reflection operators, and we demonstrate the advantages of a two-pass method....
François X. Sillion, Claude Puech
ICIP
2007
IEEE
15 years 4 months ago
A Compact Image Magnification Method with Preservation of Preferential Components
Image magnification has been attracting a great deal of attention for long, and many approaches have been proposed to date. Nevertheless, bicubic interpolation is still the stand...
Akira Hirabayashi, Laurent Condat