Classification of breast masses via nonlinear transformation of features based on a kernel matrix

Author： Mu Tingting   Nandi Asoke   Rangayyan Rangaraj  

Publisher： Springer Publishing Company

ISSN： 0140-0118

Source： Medical & Biological Engineering & Computing, Vol.45, Iss.8, 2007-08, pp. : 769-780

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

A nonlinear multi-classification knowledge-based kernel machine

By Oladunni Olutayo  

Computational Management Science, Vol. 6, Iss. 1, 2009-02 ,pp. : 81-100

Springer Publishing Company

Access to resources Recommend Favorite

Model-based transductive learning of the kernel matrix

By Zhang Zhihua  

Machine Learning, Vol. 63, Iss. 1, 2006-04 ,pp. : 69-101

Springer Publishing Company

Access to resources Recommend Favorite

Module-based breast cancer classification

By Zhang Yuji  

International Journal of Data Mining and Bioinformatics, Vol. 7, Iss. 3, 2013-04 ,pp. : 284-302

Inderscience Publishers

Access to resources Recommend Favorite

Kernel-based extreme learning machine for remote-sensing image classification

By Pal Mahesh  

Remote Sensing Letters, Vol. 4, Iss. 9, 2013-09 ,pp. : 853-862

Taylor & Francis Ltd

Access to resources Recommend Favorite

On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods

By Kim S.-W.   Oommen B.J.  

Pattern Recognition, Vol. 37, Iss. 2, 2004-02 ,pp. : 227-239

Elsevier

Access to resources Recommend Favorite