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» Mixtures of Gaussian Processes
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CVPR
2010
IEEE
15 years 6 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
AMC
2007
115views more  AMC 2007»
15 years 6 months ago
Evolutionary programming based on non-uniform mutation
Abstract–A new evolutionary programming algorithm (NEP) using the non-uniform mutation operator instead of Gaussian or Cauchy mutation operators is proposed. NEP has the merits o...
Xinchao Zhao, Xiao-Shan Gao, Ze-Chun Hu
CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 6 months ago
Fast space-variant elliptical filtering using box splines
The efficient realization of linear space-variant (non-convolution) filters is a challenging computational problem in image processing. In this paper, we demonstrate that it is po...
Kunal Narayan Chaudhury, Arrate Muñoz-Barru...
CANDC
2006
ACM
15 years 6 months ago
Hydrophobic collapse in (in silico) protein folding
A model of hydrophobic collapse, which is treated as the driving force for protein folding, is presented. This model is the superposition of three models commonly used in protein ...
Michal Brylinski, Leszek Konieczny, Irena Roterman
JMLR
2010
128views more  JMLR 2010»
15 years 1 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee