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» On Computing Functions with Uncertainty
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ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
14 years 4 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
14 years 3 months ago
An Interpolated Dynamic Navigation Function
— The E∗ algorithm is a path planning method capable of dynamic replanning and user-configurable path cost interpolation. It calculates a navigation function as a sampling of ...
Roland Philippsen, Roland Siegwart
ECCV
2010
Springer
14 years 3 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
FPL
2003
Springer
128views Hardware» more  FPL 2003»
14 years 2 months ago
Case Study of a Functional Genomics Application
Although microarrays are already having a tremendous impact on biomedical science, they still present great computational challenges. We examine a particular problem involving the...
Tom Van Court, Martin C. Herbordt, Richard J. Bart...
EUROGP
1998
Springer
14 years 1 months ago
Immediate Transfer of Global Improvements to All Individuals in a Population Compared to Automatically Defined Functions for the
Koza has shown how automatically defined functions (ADFs) can reduce computational effort in the GP paradigm. In Koza's ADF, as well as in standard GP, an improvement in a par...
Ricardo Aler