795 search results - page 130 / 159 » Learning to Classify X-Ray Images Using Relational Learning |
MAMMO
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In this paper we present a boosting based approach for automatic detection of micro-calcifications in mammographic images. Our proposal is based on using local features e...
COGSCI
2004
13 years 8 months ago
2004
In the present study, using event-related functional magnetic resonance imaging, we investigated a group of participants on a grammaticality classification task after they had bee...
RIVF
2007
13 years 10 months ago
2007
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
GECCO
2006
Springer
14 years 8 days ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...