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CVPR
2001
IEEE
14 years 10 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
The joint tasks of object recognition and object segmentation from a single image are complex in their requirement of not only correct classification, but also deciding exactly whi...
ICCBR
2007
Springer
14 years 2 months ago
2007
Springer
We present a novel approach to mine word similarity in Textual Case Based Reasoning. We exploit indirect associations of words, in addition to direct ones for estimating their simi...
NIPS
2008
13 years 10 months ago
2008
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
ECIR
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...