Difference between revisions of "Relaxation labeling"

From Cohen Courses
Jump to navigationJump to search
(Created page with 'Relaxation Labeling is a [[category::method]] used for unsupervised classification. It uses an iterative algorithm to obtain probabilities for possible outcomes. This method is c…')
 
 
Line 1: Line 1:
 
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.
  
RelatedPaper: [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.]
+
== 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>
 +
 
 +
{{#ask: [[UsesMethod::Relaxation labeling]]
 +
| ?AddressesProblem
 +
| ?UsesDataset
 +
}}

Latest revision as of 00:46, 4 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

R.A. Hummel and S.W. Zucker. 1983. On the foundations of relaxation labeling processes. In PAMI, pages 267–287.