1060 search results - page 105 / 212 » On the Discovery of Random Trees |
214
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ESANN
2006
15 years 7 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 ...
217
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We present a new approach to robust pose-variant face
recognition, which exhibits excellent generalization ability
even across completely different datasets due to its weak
depe...
230
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
182
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TSP
2008
15 years 6 months ago
2008
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
152
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...