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CEC
2009
IEEE
14 years 3 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
JCB
2007
198views more  JCB 2007»
13 years 8 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 2 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
ICPR
2008
IEEE
14 years 10 months ago
Group action recognition in soccer videos
Group action recognition in soccer videos is a challenging problem due to the difficulties of group action representation and camera motion estimation. This paper presents a novel...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Yu Kong, Yu...
ICIP
2002
IEEE
14 years 1 months ago
Head pose estimation using Gabor eigenspace modeling
In this paper, an approach towards head pose estimation is introduced based on Gabor eigenspace modeling. Gabor filter is used to enhance pose information and eliminate other dist...
Yucheng Wei, Ludovic Fradet, Tieniu Tan