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Linear least squares (mathematics)
Known as:
Constrained regression
, Constrained linear least squares
, Normal equations
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In statistics and mathematics, linear least squares is an approach fitting a mathematical or statistical model to data in cases where the idealized…
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Related topics
Related topics
49 relations
B-spline
Bundle adjustment
Chemometrics
Cholesky decomposition
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares
B. Guijarro-Berdiñas
,
O. Fontenla-Romero
,
Beatriz Pérez-Sánchez
,
Paula Fraguela
Ideal
2007
Corpus ID: 10778009
Training multilayer neural networks is typically carried out using gradient descent techniques. Ever since the brilliant…
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2004
2004
Automatic position calibration of multiple microphones
V. Raykar
,
R. Duraiswami
IEEE International Conference on Acoustics…
2004
Corpus ID: 6283881
We describe a method to determine automatically the relative three dimensional positions of multiple microphones using at least…
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2000
2000
Head detection and tracking by 2-D and 3-D ellipsoid fitting
N. Grammalidis
,
M. Strintzis
Proceedings Computer Graphics International
2000
Corpus ID: 7686727
A novel procedure for segmenting a set of scattered 3D data obtained from a head and shoulders multiview sequence is presented…
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Highly Cited
1998
Highly Cited
1998
Recent Improvements to a Version of the Wilson-Devinney Program
J. Kallrath
,
E. Milone
,
D. Terrell
,
A. T. Young
1998
Corpus ID: 8041302
We summarize recent improvements to a version of the Wilson-Devinney program that is widely used for the analysis of eclipsing…
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Highly Cited
1997
Highly Cited
1997
Accurate fitting of immittance spectroscopy frequency-response data using the stretched exponential model
J. Macdonald
1997
Corpus ID: 51842014
Review
1991
Review
1991
Estimation of Stochastic Frontier Cost Function Using Data Envelopment Analysis: an Application to the AT&T Divestiture
T. Sueyoshi
1991
Corpus ID: 153594835
This study develops a new use of data envelopment analysis for estimating a stochastic frontier cost function that is assumed to…
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Highly Cited
1986
Highly Cited
1986
Fortran package for constrained linear least-squares and convex quadratic programming. User's Guide for LSSOL (Version 1. 0)
P. Gill
,
S. Hammarling
,
W. Murray
,
Saunders
,
M. H. Wright
1986
Corpus ID: 117872646
This report forms the user's guide for Version 1.0 of LSSOL, a set of Fortran 77 subroutines for linearly constrained linear…
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Highly Cited
1985
Highly Cited
1985
A smoothness priors long AR model method for spectral estimation
G. Kitagawa
,
W. Gersch
IEEE Transactions on Automatic Control
1985
Corpus ID: 27646255
A new smoothness priors long AR model method approach is taken to the short data span spectral estimation problem. An…
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1985
1985
Edge-sensitive image restoration using order-constrained least squares methods
A. Bovik
,
Thomas S. Huang
,
D. Munson
IEEE Transactions on Acoustics Speech and Signal…
1985
Corpus ID: 9041530
In this paper we consider a novel technique for the restoration of noise corrupted images, using order-constrained least squares…
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1977
1977
Least Squares Image Restoration Using Spline Basis Functions
H. Hou
,
H. Andrews
IEEE transactions on computers
1977
Corpus ID: 13633400
This paper presents a theoretical analysis and computational technique for constrained least squares image restoration using…
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