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» Learning While Optimizing an Unknown Fitness Surface
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LION
2007
Springer
192views Optimization» more  LION 2007»
13 years 10 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
CVGIP
2004
175views more  CVGIP 2004»
13 years 4 months ago
A subdivision-based deformable model for surface reconstruction of unknown topology
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...
Ye Duan, Hong Qin
3DIM
2005
IEEE
13 years 10 months ago
Efficient Photometric Stereo Technique for Three-Dimensional Surfaces with Unknown BRDF
The present paper focuses on efficient inverse rendering using a Photometric Stereo technique for realistic surfaces. The technique primarily assumes the Lambertian reflection mod...
Li Shen, Takashi Machida, Haruo Takemura
ICCAD
2005
IEEE
107views Hardware» more  ICCAD 2005»
14 years 1 months ago
Projection-based performance modeling for inter/intra-die variations
Large-scale process fluctuations in nano-scale IC technologies suggest applying high-order (e.g., quadratic) response surface models to capture the circuit performance variations....
Xin Li, Jiayong Le, Lawrence T. Pileggi, Andrzej J...
CVPR
2007
IEEE
14 years 6 months ago
Global Optimization for Shape Fitting
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
Victor S. Lempitsky, Yuri Boykov