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GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 7 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
BIB
2007
82views more  BIB 2007»
15 years 6 months ago
High-throughput modeling and analysis of protein structural dynamics
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the functi...
Xiong Liu, Hassan A. Karimi
TEC
2008
98views more  TEC 2008»
15 years 6 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
PAA
2008
15 years 6 months ago
Motion synthesis through 1D affine matching
We present the study of a data-driven motion synthesis approach based on a 1D affine imagematching equation. We start by deriving the relevant properties of the exact matching oper...
Perfilino Eugênio Ferreira Jr., José ...