136 search results - page 13 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
84
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CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
NIPS
2003
14 years 11 months ago
2003
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
104
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CIMAGING
2009
14 years 10 months ago
2009
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
NIPS
2001
14 years 11 months ago
2001
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
106
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NECO
2011
14 years 4 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...