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Neurocomputing for Vision Research Neurocomputing techniques become more and more important in vision research. A great deal of problems in vision research are mitigated through the neurocomputing techniques, such as Bayesian inference, density modeling and clustering, latent variable models, manifold learning, neural networks, kernel machines, sampling techniques, semi-supervised learning

Neurocomputing for Vision Research Neurocomputing techniques become more and more important in vision research. A great deal of problems in vision research are mitigated through the neurocomputing techniques, such as Bayesian inference, density modeling and clustering, latent variable models, manifold learning, neural networks, kernel machines, sampling techniques, semi-supervised learning