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» Boosting Methods for Regression
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ICIP
2008
IEEE
14 years 11 months ago
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management
A multiresolutional regularization method is proposed for local linear regression that regularizes local mean squared-error by the mean squared-error of a larger neighborhood. The...
Nasiha Hrustemovic, Maya R. Gupta
CSSC
2008
84views more  CSSC 2008»
13 years 10 months ago
Nonparametric Regression as an Example of Model Choice
Nonparametric regression can be considered as a problem of model choice. In this paper we present the results of a simulation study in which several nonparametric regression techn...
Laurie Davies, Ursula Gather, Henrike Weinert
IDEAL
2010
Springer
13 years 8 months ago
Dimension Reduction for Regression with Bottleneck Neural Networks
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
Elina Parviainen
ICIP
2009
IEEE
13 years 7 months ago
Face virtual pose generation using aligned locally linear regression for face recognition
In this paper a new solution for the single sample problem in low resolution face recognition is proposed. The proposed solution uses an enhanced virtual pose generation method to...
Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat
ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 9 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...