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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.
Highly Cited
2010
Highly Cited
2010
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
Sheng Chen
,
X. Hong
,
C. Harris
IEEE Transactions on Evolutionary Computation
2010
Corpus ID: 8785128
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications…
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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
1997
Highly Cited
1997
Accurate fitting of immittance spectroscopy frequency-response data using the stretched exponential model
J. Macdonald
1997
Corpus ID: 51842014
1994
1994
Optimal identification of discrete-time systems from impulse response data
A. Shaw
IEEE Transactions on Signal Processing
1994
Corpus ID: 10697024
An optimal method (OM) for estimation of the parameters of rational transfer functions from prescribed impulse response data is…
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Highly Cited
1993
Highly Cited
1993
Ellipse fitting by accumulating five-point fits
Paul L. Rosin
Pattern Recognition Letters
1993
Corpus ID: 19259614
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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