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6

IBPRIA
2005
Springer

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Solving Particularization with Supervised Clustering Competition Scheme

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Solving Particularization with Supervised Clustering Competition Scheme

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The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and unlabelled data can be done. In this paper we propose a new problem we have called particularization and a way to solve it. We also propose a new technique for mixing labelled and unlabelled data. This technique relies in the combination of supervised and unsupervised processes competing for the classiﬁcation of each data point. Encouraging results on improving the classiﬁcation outcome are obtained on MNIST database.

Oriol Pujol, Petia Radeva

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IBPRIA 2005 | Image Analysis | Semi-supervision Techniques | Unlabelled Data | Unsupervised Processes |

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	IBPRIA
Authors	Oriol Pujol, Petia Radeva

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