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JMLR
2002
137views more  JMLR 2002»
13 years 7 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
MLCW
2005
Springer
14 years 1 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
PRL
2008
101views more  PRL 2008»
13 years 6 months ago
Illumination-robust face recognition using ridge regressive bilinear models
The performance of face recognition is greatly affected by illumination changes because intra-person variation of the captured images under different lighting conditions can be mu...
Dongsoo Shin, Hyung-Soo Lee, Daijin Kim
CVPR
2003
IEEE
14 years 9 months ago
Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction
Corner measurement is of main concern within the following tasks: camera calibration, image matching, object tracking, recognition and reconstruction. This paper presents a hybrid...
Benjamín Hernández, Enrique Dunn, Gu...
ICPR
2008
IEEE
14 years 2 months ago
Ridge Regression for Two Dimensional Locality Preserving Projection
Two Dimensional Locality Preserving Projection (2DLPP) is a recent extension of LPP, a popular face recognition algorithm. It has been shown that 2D-LPP performs better than PCA, ...
Nam Thanh Nguyen, Wanquan Liu, Svetha Venkatesh