795 search results - page 130 / 159 » Learning to Classify X-Ray Images Using Relational Learning |
126
Voted
MAMMO
2010
Springer
15 years 4 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...
106
Voted
COGSCI
2004
15 years 2 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...
162
Voted
RIVF
2007
15 years 4 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...
150
Voted
ICDM
2003
IEEE
15 years 8 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...
118
Voted
GECCO
2006
Springer
15 years 6 months 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...