24 search results - page 5 / 5 » Boosting Algorithms for Maximizing the Soft Margin |
KAIS
2010
13 years 3 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
KDD
2002
ACM
14 years 5 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...