136 search results - page 8 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
ICCSA
2003
Springer
15 years 2 months ago
2003
Springer
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
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JMLR
2010
14 years 4 months ago
2010
We introduce a nonparametric representation for graphical model on trees which expresses marginals as Hilbert space embeddings and conditionals as embedding operators. This formul...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
108
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SSPR
2010
Springer
14 years 8 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
IJCV
2010
14 years 8 months ago
2010
Abstract We review the evolution of the nonparametric regression modeling in imaging from the local Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-d...