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NECO
2011
14 years 4 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
ICPR
2008
IEEE
15 years 4 months ago
A least square kernel machine with box constraints
In this paper, we present a least square kernel machine with box constraints (LSKMBC). The existing least square machines assume Gaussian hyperpriors and subsequently express the ...
Jayanta Basak
GMP
2008
IEEE
153views Solid Modeling» more  GMP 2008»
15 years 4 months ago
A Revisit to Least Squares Orthogonal Distance Fitting of Parametric Curves and Surfaces
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In this paper we review and analyze existing least squares orthogonal distance fi...
Yang Liu, Wenping Wang
ICIP
2001
IEEE
15 years 11 months ago
Improving motion and orientation estimation using an equilibrated total least squares approach
This paper outlines the ubiquitous presence of generalized orientation (or subspace) estimationproblems in image analysis. We show the potential sources of bias in naive approache...
Matthias Mühlich, Rudolf Mester
VTC
2007
IEEE
129views Communications» more  VTC 2007»
15 years 4 months ago
Hybrid Model of Least Squares Handover Algorithms in Wireless Networks
Abstract— An adaptive handover algorithm for wireless comn systems is addressed in this extended abstract. Moving from the Generalized Extended Least Square handover algorithm in...
Claudia Rinaldi, Fortunato Santucci, Carlo Fischio...