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FOCM
2006
97views more  FOCM 2006»
14 years 9 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
IISWC
2009
IEEE
15 years 4 months ago
A characterization and analysis of PTX kernels
Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanch...
IPMI
2007
Springer
15 years 3 months ago
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images
Parmeshwar Khurd, Ragini Verma, Christos Davatziko...
FGR
2002
IEEE
150views Biometrics» more  FGR 2002»
15 years 2 months ago
Face Recognition Using Kernel Based Fisher Discriminant Analysis
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma