Sciweavers

74 search results - page 8 / 15
» Exploiting unlabeled data in ensemble methods
Sort
View
CVPR
2008
IEEE
14 years 9 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
INTERSPEECH
2010
13 years 2 months ago
Semi-supervised extractive speech summarization via co-training algorithm
Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semisuperv...
Shasha Xie, Hui Lin, Yang Liu
DAGM
2010
Springer
13 years 8 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
ICMLA
2007
13 years 9 months ago
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
Rómer Rosales, Praveen Krishnamurthy, R. Bh...
DAGM
2006
Springer
13 years 11 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer