190 search results - page 8 / 38 » PAC-Bayesian learning of linear classifiers |
ICML
2010
IEEE
13 years 8 months 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 ...
ICPR
2006
IEEE
14 years 8 months 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
14 years 9 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...
JMLR
2010
13 years 2 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...
ML
2002
ACM
13 years 7 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...