Difference between revisions of "Relaxation labeling"
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Relaxation Labeling is a [[category::method]] used for unsupervised classification. It uses an iterative algorithm to obtain probabilities for possible outcomes. This method is commonly used in computer vision tasks. | Relaxation Labeling is a [[category::method]] used for unsupervised classification. It uses an iterative algorithm to obtain probabilities for possible outcomes. This method is commonly used in computer vision tasks. | ||
| − | + | == Relevant Paper == | |
| + | [http://dl.acm.org/citation.cfm?id=2052852 R.A. Hummel and S.W. Zucker. 1983. On the foundations of relaxation labeling processes. In PAMI, pages 267–287.]<br><br> | ||
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| + | {{#ask: [[UsesMethod::Relaxation labeling]] | ||
| + | | ?AddressesProblem | ||
| + | | ?UsesDataset | ||
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Latest revision as of 23:46, 3 October 2012
Relaxation Labeling is a method used for unsupervised classification. It uses an iterative algorithm to obtain probabilities for possible outcomes. This method is commonly used in computer vision tasks.
Relevant Paper
