190 search results - page 8 / 38 » PAC-Bayesian learning of linear classifiers |
101
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ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
91
Voted
ICPR
2006
IEEE
16 years 24 days ago
2006
IEEE
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
For a large class of applications, there is time to train the system. In this paper, we propose a learning-based approach to patch perspective rectification, and show that it is b...
120
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JMLR
2010
14 years 6 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
100
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ML
2002
ACM
14 years 11 months ago
2002
ACM
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...