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CVPR
2008
IEEE
14 years 9 months ago
Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithm...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
IAT
2008
IEEE
14 years 2 months ago
Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...
Luis de Marcos, Roberto Barchino, José-Javi...
IJCNN
2006
IEEE
14 years 1 months ago
Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve
Abstract— A large portion of South Africa’s elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much hig...
Parviz Palangpour, Ganesh K. Venayagamoorthy, Kevi...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Environment as a spatial constraint on the growth of structural form
We explore the use of the developmental environment as a spatial constraint on a model of Artificial Embryogeny, applied to the growth of structural forms. A Deva model is used t...
Taras Kowaliw, Peter Grogono, Nawwaf N. Kharma
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa