881 search results - page 39 / 177 » Spectral Algorithms for Supervised Learning |
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
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...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
92
Voted
AAAI
2008
15 years 3 hour ago
2008
The recent years have witnessed a surge of interests in semi-supervised learning methods. A common strategy for these algorithms is to require that the predicted data labels shoul...
143
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
79
Voted
AIPR
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract—The multi-band target detection algorithms implemented in hyperspectral imaging systems represent perhaps the most successful example of image fusion. A core suite of su...