2252 search results - page 4 / 451 » Improving Random Forests |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. A new algorithm is presented for the automatic segmentation of Multiple Sclerosis (MS) lesions in 3D MR images. It builds on the discriminative random decision forest fra...
ICDAR
2007
IEEE
14 years 2 months ago
2007
IEEE
In the Pattern Recognition field, growing interest has been shown in recent years for Multiple Classifier Systems and particularly for Bagging, Boosting and Random Subspaces. Th...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We present a method for the detection of instances of an
object class, such as cars or pedestrians, in natural images.
Similarly to some previous works, this is accomplished via
...