2476 search results - page 127 / 496 » Model Selection and Error Estimation |
131
Voted
IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
155
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CSDA
2006
15 years 4 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
149
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NIPS
1998
15 years 5 months ago
1998
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
136
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ECCV
2006
Springer
16 years 6 months ago
2006
Springer
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
140
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WACV
2007
IEEE
15 years 10 months ago
2007
IEEE
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...