Fast semi-supervised SVM classifiers using a priori metric information

Author： Vural Volkan   Fung Glenn   Dy Jennifer   Rao Bharat  

Publisher： Taylor & Francis Ltd

ISSN： 1055-6788

Source： Optimization Methods and Software, Vol.23, Iss.4, 2008-08, pp. : 521-532

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

Abstract

Related content

Data preprocessing in semi-supervised SVM classification

By Astorino A.  

Optimization, Vol. 60, Iss. 1-2, 2011-01 ,pp. : 143-151

Taylor & Francis Ltd

Access to resources Recommend Favorite

New SDP models for protein homology detection with semi-supervised SVM

By Bai Y.Q.   Niu B.L.   Chen Y.  

Optimization, Vol. 62, Iss. 4, 2013-04 ,pp. : 561-572

Taylor & Francis Ltd

Access to resources Recommend Favorite

The effect of histogram discontinuities on spectral information and non-supervised classifiers

By Salvador R.   San-Miguel-Ayanz J.  

International Journal of Remote Sensing, Vol. 24, Iss. 1, 2003-01 ,pp. : 115-131

Taylor & Francis Ltd

Access to resources Recommend Favorite

Mixture graph based semi-supervised dimensionality reduction

By Yu G.   Peng H.   Wei J.   Ma Q.  

Pattern Recognition and Image Analysis, Vol. 20, Iss. 4, 2010-12 ,pp. : 536-541

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Semi-supervised learning with local and global consistency

By  

International Journal of Computer Mathematics, Vol. 91, Iss. 11, 2014-11 ,pp. : 2389-2402

Taylor & Francis Ltd

Access to resources Recommend Favorite