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» Obtaining Best Parameter Values for Accurate Classification
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CAEPIA
2007
Springer
14 years 1 months ago
Heuristics for Planning with Action Costs
We introduce a non-admissible heuristic for planning with action costs, called the set-additive heuristic, that combines the benefits of the additive heuristic used in the HSP pla...
Emil Keyder, Hector Geffner
TSMC
2008
225views more  TSMC 2008»
13 years 7 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni
ESANN
2008
13 years 9 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
FPGA
2006
ACM
224views FPGA» more  FPGA 2006»
13 years 11 months ago
Flexible implementation of genetic algorithms on FPGAs
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shiba...
CVPR
2000
IEEE
14 years 9 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer