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» On Multiple Linear Approximations
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ICPR
2000
IEEE
16 years 5 months ago
Face Reconstruction from a Small Number of Feature Points
This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of sha...
Bon-Woo Hwang, Seong-Whan Lee, Volker Blanz, Thoma...
ICIP
2009
IEEE
16 years 5 months ago
Efficient Multivariate Skellam Shrinkage For Denoising Photon-limited Image Data: An Empirical Bayes Approach
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
ICML
2006
IEEE
16 years 5 months ago
Efficient co-regularised least squares regression
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
Stefan Wrobel, Thomas Gärtner, Tobias Scheffe...
ICML
2005
IEEE
16 years 5 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
ICML
2005
IEEE
16 years 5 months ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai