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» Robust binary least squares: Relaxations and algorithms
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IJCNN
2008
IEEE
13 years 11 months ago
Fully complex-valued radial basis function networks for orthogonal least squares regression
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
Sheng Chen, Xia Hong, Chris J. Harris
CVPR
2008
IEEE
14 years 6 months ago
Least squares surface reconstruction from measured gradient fields
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
Matthew Harker, Paul O'Leary
ECCV
1998
Springer
14 years 6 months ago
The Role of Total Least Squares in Motion Analysis
Abstract. The main goal of this paper is to put well-established techniques for two-view motion analysis in the context of the theory of Total Least Squares and to make clear that ...
Matthias Mühlich, Rudolf Mester
COMPGEOM
2004
ACM
13 years 10 months ago
On the least median square problem
We consider the exact and approximate computational complexity of the multivariate LMS linear regression estimator. The LMS estimator is among the most widely used robust linear s...
Jeff Erickson, Sariel Har-Peled, David M. Mount
CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 4 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...