214 search results - page 12 / 43 » Semi-Supervised Random Forests |
104
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BMCBI
2010
14 years 11 months ago
2010
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
174
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
134
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ESANN
2006
15 years 1 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
139
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...