6 search results - page 1 / 2 » Kernelizing PLS, degrees of freedom, and efficient model sel... |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
CAD
2004
Springer
13 years 4 months ago
2004
Springer
Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and the model building software. Such models can be im...
JMLR
2002
13 years 4 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
SGP
2004
13 years 7 months ago
2004
Providing a thorough mathematical foundation, multiresolution modeling is the standard approach for global surface deformations that preserve fine surface details in an intuitive ...
SCIA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Recently, an energy-based unified framework for image denoising was proposed by Mr´azek et al. [10], from which existing nonlinear filters such as M-smoothers, bilater...