110 search results - page 7 / 22 » Boosting a Weak Learning Algorithm by Majority |
COLT
1999
Springer
13 years 11 months ago
1999
Springer
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
ICCV
2007
IEEE
14 years 9 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...
PAMI
2011
13 years 2 months ago
2011
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
3DPVT
2004
IEEE
13 years 11 months ago
2004
IEEE
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...