110 search results - page 9 / 22 » Boosting a Weak Learning Algorithm by Majority |
DIS
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
In this paper, we investigate a search-based face annotation framework by mining weakly labeled facial images that are freely available on the internet. A key component of such a ...
COLT
2000
Springer
13 years 11 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
ML
2002
ACM
13 years 7 months ago
2002
ACM
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...