An automatic method for burn scar mapping using support vector machines

Author： Cao X.   Chen J.   Matsushita B.   Imura H.   Wang L.  

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.30, Iss.3, 2009-01, pp. : 577-594

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

Using an iterative linear solver in an interior-point method for generating support vector machines

By Gertz E.   Griffin Joshua  

Computational Optimization and Applications, Vol. 47, Iss. 3, 2010-11 ,pp. : 431-453

Springer Publishing Company

Access to resources Recommend Favorite

Regularized nonsmooth Newton method for multi-class support vector machines

By Zhong Ping   Fukushima Masao  

Optimization Methods and Software, Vol. 22, Iss. 1, 2007-02 ,pp. : 225-236

Taylor & Francis Ltd

Access to resources Recommend Favorite

Determination of ocean primary productivity using support vector machines

By Tang S.   Chen C.   Zhan H.   Zhang T.  

International Journal of Remote Sensing, Vol. 29, Iss. 21, 2008-11 ,pp. : 6227-6236

Taylor & Francis Ltd

Access to resources Recommend Favorite

B‐factor profile prediction for RNA flexibility using support vector machines

By  

JOURNAL OF COMPUTATIONAL CHEMISTRY, Vol. 39, Iss. 8, 2018-03 ,pp. : 407-411

John Wiley & Sons Inc

Access to resources Recommend Favorite

The consistency of multicategory support vector machines

By Chen Di-Rong   Xiang Dao-Hong  

Advances in Computational Mathematics, Vol. 24, Iss. 1-4, 2006-01 ,pp. : 155-169

Springer Publishing Company

Access to resources Recommend Favorite