Non-parametric and unsupervised Bayesian classification with Bootstrap sampling

Author： Zribi M.  

Publisher： Elsevier

ISSN： 0262-8856

Source： Image and Vision Computing, Vol.22, Iss.1, 2004-01, pp. : 1-8

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images

By Bruzzone L.   Cossu R.   Vernazza G.  

Information Fusion, Vol. 3, Iss. 4, 2002-12 ,pp. : 289-297

Elsevier

Access to resources Recommend Favorite

A Computationally Efficient, Consistent Bootstrap for Inference with Non-parametric DEA Estimators

By Kneip Alois  

Computational Economics, Vol. 38, Iss. 4, 2011-11 ,pp. : 483-515

Springer Publishing Company

Access to resources Recommend Favorite

Non-Parametric Regression Methods

By Ince Huseyin  

Computational Management Science, Vol. 3, Iss. 2, 2006-04 ,pp. : 161-174

Springer Publishing Company

Access to resources Recommend Favorite

A NON-PARAMETRIC APPROACH TO SIMPLICITY CLUSTERING

By Hines Peter  

Applied Artificial Intelligence, Vol. 21, Iss. 8, 2007-09 ,pp. : 729-752

Taylor & Francis Ltd

Access to resources Recommend Favorite

Infinite factorization of multiple non-parametric views

By Rogers Simon   Klami Arto   Sinkkonen Janne   Girolami Mark   Kaski Samuel  

Machine Learning, Vol. 79, Iss. 1-2, 2010-05 ,pp. : 201-226

Springer Publishing Company

Access to resources Recommend Favorite