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» Learning to Classify X-Ray Images Using Relational Learning
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ECCV
2008
Springer
14 years 10 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
ICPR
2010
IEEE
13 years 12 months ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...
ICML
2004
IEEE
14 years 9 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
FUIN
2006
107views more  FUIN 2006»
13 years 8 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
ICIP
2004
IEEE
14 years 10 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio