A feature selection method using improved regularized linear discriminant analysis

Author： Sharma Alok   Paliwal Kuldip   Imoto Seiya   Miyano Satoru  

Publisher： Springer Publishing Company

ISSN： 0932-8092

Source： Machine Vision and Applications, Vol.25, Iss.3, 2014-04, pp. : 775-786

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

Selecting discriminant eigenfaces by using binary feature selection

By Yu Wangxin   Wang Zhizhong   Chen Weiting  

Neural Computing & Applications, Vol. 19, Iss. 6, 2010-09 ,pp. : 911-918

Springer Publishing Company

Access to resources Recommend Favorite

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis

By Böhmer Wendelin   Grünewälder Steffen   Nickisch Hannes   Obermayer Klaus  

Machine Learning, Vol. 89, Iss. 1-2, 2012-10 ,pp. : 67-86

Springer Publishing Company

Access to resources Recommend Favorite

A novel multi-stage feature selection method for microarray expression data analysis

By Du Wei   Sun Ying   Wang Yan   Cao Zhongbo   Zhang Chen   Liang Yanchun  

International Journal of Data Mining and Bioinformatics, Vol. 7, Iss. 1, 2013-12 ,pp. : 58-77

Inderscience Publishers

Access to resources Recommend Favorite

A novel method for Fisher discriminant analysis

By Xu Y.   Yang J.-Y.   Jin Z.  

Pattern Recognition, Vol. 37, Iss. 2, 2004-02 ,pp. : 381-384

Elsevier

Access to resources Recommend Favorite

Geometric linear discriminant analysis for pattern recognition

By Ordowski M.   Meyer G.G.L.  

Pattern Recognition, Vol. 37, Iss. 3, 2004-03 ,pp. : 421-428

Elsevier

Access to resources Recommend Favorite