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» Boosting for transfer learning
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PAMI
2012
13 years 8 days ago
Learning Optimal Embedded Cascades
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
Mohammad Javad Saberian, Nuno Vasconcelos
CVPR
2008
IEEE
15 years 12 months ago
Face alignment via boosted ranking model
Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is al...
Gianfranco Doretto, Hao Wu, Xiaoming Liu 0002
ICML
2005
IEEE
15 years 10 months ago
Predicting good probabilities with supervised learning
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
Alexandru Niculescu-Mizil, Rich Caruana
CIKM
2009
Springer
15 years 4 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
ML
2000
ACM
149views Machine Learning» more  ML 2000»
14 years 9 months ago
BoosTexter: A Boosting-based System for Text Categorization
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
Robert E. Schapire, Yoram Singer