27 search results - page 5 / 6 » Multi-Class Learning by Smoothed Boosting |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
ICMLA
2004
13 years 6 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
CVPR
2005
IEEE
13 years 7 months ago
2005
IEEE
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...