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» Estimating Vision Parameters given Data with Covariances
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IJCAI
2007
14 years 11 months ago
Collapsed Variational Dirichlet Process Mixture Models
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
Kenichi Kurihara, Max Welling, Yee Whye Teh
IJPRAI
1998
100views more  IJPRAI 1998»
14 years 9 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
CIDU
2010
14 years 7 months ago
Adaptive Model Refinement for the Ionosphere and Thermosphere
Mathematical models of physical phenomena are of critical importance in virtually all applications of science and technology. This paper addresses the problem of how to use data to...
Anthony M. D'Amato, Aaron J. Ridley, Dennis S. Ber...
ICCV
2003
IEEE
15 years 11 months ago
Image Statistics and Anisotropic Diffusion
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
Hanno Scharr, Michael J. Black, Horst W. Haussecke...
AI
2000
Springer
14 years 9 months ago
Understanding dynamic scenes
We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, und...
Antonio Chella, Marcello Frixione, Salvatore Gagli...