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Total least squares
Known as:
Least products regression
, Standardised major axis regression
, Reduced major axis regression
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In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which…
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Related topics
Related topics
13 relations
Curve fitting
Direct linear transformation
Eight-point algorithm
Errors-in-variables models
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Solving regularized total least squares problems based on eigenproblems
J. Lampe
,
H. Voss
2010
Corpus ID: 18357392
The total least squares (TLS) method is a successful approach for linear problems if both the system matrix and the right hand…
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Highly Cited
2008
Highly Cited
2008
A parsimonious combination of functional traits predicting plant response to disturbance and soil fertility
A. Kühner
,
M. Kleyer
2008
Corpus ID: 56043044
Abstract Questions: 1. How many traits associated with persistence and regeneration are necessary to predict the response of…
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Highly Cited
2005
Highly Cited
2005
Perceptual audio modeling with exponentially damped sinusoids
K. Hermus
,
W. Verhelst
,
P. Lemmerling
,
P. Wambacq
,
S. Huffel
Signal Processing
2005
Corpus ID: 14402106
2005
2005
Total least squares fitting of point sets in m-D
Gaojin Wen
,
Dengming Zhu
,
Shi-hong Xia
,
Zhaoqi Wang
International Computer Graphics
2005
Corpus ID: 6688038
The absolute orientation technique, minimizing the mean squared error between two matched point sets under similarity…
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Review
2002
Review
2002
Structured Total Least Squares
P. Lemmerling
,
S. Huffel
2002
Corpus ID: 116064385
In this paper an overview is given of the Structured Total Least Squares (STLS) approach and its recent extensions. The…
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1999
1999
Incomplete total least squares
K. Brüntjen
,
H. Späth
Numerische Mathematik
1999
Corpus ID: 27261336
Abstract. Fitting data points with some model function such that the sum of squared orthogonal distances is minimized is well…
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Review
1997
Review
1997
Regularization algorithms based on total least squares
P. Hansen
,
D. O’Leary
1997
Corpus ID: 15960754
Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditioned coeecient matrix, and in…
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1996
1996
On the equivalence of constrained total least squares and structured total least squares
P. Lemmerling
,
B. Moor
,
S. Huffel
IEEE Transactions on Signal Processing
1996
Corpus ID: 18589641
Several extensions of the total least squares (TLS) method that are able to calculate a structured rank deficient approximation…
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1995
1995
Affine Analysis of Image Sequences: Contents
L. S. Shapiro
1995
Corpus ID: 60483267
1991
1991
Recursive total-least-squares adaptive filtering
E. Dowling
,
R. DeGroat
Optics & Photonics
1991
Corpus ID: 120722048
In this paper a recursive total least squares (RTLS) adaptive filter is introduced and studied. The TLS approach is more…
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