Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

16

ICPR
2008
IEEE

favoriteEmaildiscussreport

172views Computer Vision» more ICPR 2008»

Generalized Nonlinear Discriminant Analysis

14 years 5 months ago

Generalized Nonlinear Discriminant Analysis

Download see.xidian.edu.cn

A Generalized Nonlinear Discriminant Analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis in the nonlinear mapping space corresponds to nonlinear discriminant analysis in an input space. GNDA suggests a unified framework of nonlinear discriminant analysis which includes the kernel Fisher discriminant analysis as a specific case. Experimental results on UCI data sets demonstrate the validity of our method.

Hua Zhang, Li Zhang, Licheng Jiao, Weida Zhou

Real-time Traffic

Computer Vision | ICPR 2008 | Mapping Space Corresponds | Nonlinear Discriminant Analysis | Nonlinear Mapping Space |

claim paper

Related Content

» Generalized Discriminant Analysis Using a Kernel Approach

» A comparison of generalized linear discriminant analysis algorithms

» An Improved Generalized Discriminant Analysis for LargeScale Data Set

» Visual nonlinear discriminant analysis for classifier design

» Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis

» Generalized Multiview Analysis A discriminative latent space

» Efficient Kernel Discriminant Analysis via QR Decomposition

» Small Sample Learning during Multimedia Retrieval using BiasMap

» Kernel oriented discriminant analysis for speakerindependent phoneme spaces

Post Info
More Details (n/a)

Added	05 Nov 2009
Updated	05 Nov 2009
Type	Conference
Year	2008
Where	ICPR
Authors	Hua Zhang, Li Zhang, Licheng Jiao, Weida Zhou

Comments (0)