Sciweavers

CVPR
2010
IEEE
13 years 5 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ECML
2007
Springer
13 years 11 months ago
Weighted Kernel Regression for Predicting Changing Dependencies
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
Steven Busuttil, Yuri Kalnishkan