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» Optimal 2D Model Matching Using a Messy Genetic Algorithm
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GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
14 years 21 days ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon
AMDO
2004
Springer
14 years 27 days ago
Improvement of Modal Matching Image Objects in Dynamic Pedobarography Using Optimization Techniques
Abstract. The paper presents an approach for matching objects in dynamic pedobarography image sequences, based on finite element modeling and modal analysis. The determination of c...
Luísa Ferreira Bastos, João Manuel R...
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
13 years 8 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
PAMI
1998
107views more  PAMI 1998»
13 years 7 months ago
Graph Matching With a Dual-Step EM Algorithm
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...
Andrew D. J. Cross, Edwin R. Hancock
ICIP
2008
IEEE
14 years 9 months ago
Articulated registration of 3D human geometry to X-ray image
A fully automatic 3D-2D articulated registration algorithm for aligning a whole-body human geometry to a 2D X-ray image is presented. Domain prior in the form of a hierarchical mo...
Sang N. Le, Jayashree Karlekar, Anthony C. Fang