702 search results - page 45 / 141 » Boosting in the presence of noise |
EUROGP
2007
Springer
14 years 4 months ago
2007
Springer
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
We describe a novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion. Humans are modeled ...
AAAI
2006
13 years 11 months ago
2006
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
EMNLP
2011
12 years 9 months ago
2011
Dual decomposition has been recently proposed as a way of combining complementary models, with a boost in predictive power. However, in cases where lightweight decompositions are ...
IPMI
2005
Springer
14 years 10 months ago
2005
Springer
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...