194 search results - page 25 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
133
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ECCV
2010
Springer
15 years 5 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....
ALT
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
120
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NIPS
2008
15 years 1 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
ML
2007
ACM
14 years 11 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
104
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IPMI
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...