94 search results - page 10 / 19 » Functional Bregman Divergence and Bayesian Estimation of Dis... |
UAI
2004
14 years 11 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
NIPS
2007
14 years 11 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
110
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3DIM
2005
IEEE
14 years 11 months ago
2005
IEEE
Camera calibration methods, whether implicit or explicit, are a critical part of most 3D vision systems. These methods involve estimation of a model for the camera that produced t...
122
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...