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» Approximate algorithms for neural-Bayesian approaches
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ECCV
2004
Springer
15 years 1 months ago
Efficient Initialization for Constrained Active Surfaces, Applications in 3D Medical Images
A novel method allowing simplified and efficient active surface initialization for 3D images segmentation is presented. Our method allows to initialize an active surface through si...
Roberto Ardon, Laurent D. Cohen
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 1 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
ECML
2006
Springer
15 years 1 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater
ENC
2006
IEEE
15 years 1 months ago
Adaptive Node Refinement Collocation Method for Partial Differential Equations
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
José Antonio Muñoz-Gómez, Ped...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 1 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia