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Iteratively reweighted least squares
Known as:
IRLS
, Iterative weighted least squares
, Iteratively weighted least squares
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The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form: by an…
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Related topics
Related topics
16 relations
Compressed sensing
Generalized least squares
Generalized linear model
Geometric median
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Broader (1)
Least squares
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Blind Spectral Signal Deconvolution with Sparsity Regularization: An Iteratively Reweighted Least-Squares Solution
Hai Liu
,
Luxin Yan
,
Tao Huang
,
Sanya Liu
,
Zhaoli Zhang
Circuits Syst. Signal Process.
2017
Corpus ID: 40311059
Spectral signals often suffer from the common problems of band overlap and random Gaussian noise. To address these problems, we…
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2016
2016
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis
Young Woong Park
,
D. Klabjan
Industrial Conference on Data Mining
2016
Corpus ID: 9211394
Principal component analysis (PCA) is often used to reduce the dimension of data by selecting a few orthonormal vectors that…
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2015
2015
Initialized iterative reweighted least squares for automatic target recognition
Brian Millikan
,
Aritra Dutta
,
Nazanin Rahnavard
,
Qiyu Sun
,
H. Foroosh
IEEE Military Communications Conference
2015
Corpus ID: 11714934
Automatic target recognition is typically deployed on infrared focal plane arrays with high resolution, which could be costly…
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2013
2013
Iterative Reweighted Least Squares approach to interference alignment
Mohamed Rihan
,
M. Elsabrouty
,
S. Elnoubi
,
H. Shalaby
,
O. Muta
,
H. Furukawa
IFIP Wireless Days (WD)
2013
Corpus ID: 16312575
This paper investigates the interference alignment (IA) solution for a K-user static flat-fading multiple input multiple output…
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2010
2010
Iteratively reweighted least squares classifier and its l2- and l1-regularized Kernel versions
J. Łȩski
2010
Corpus ID: 54036517
This paper introduces a new classifier design method based on regularized iteratively reweighted least squares criterion function…
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2005
2005
FCM Clustering from the View Point of Iteratively Reweighted Least Squares
H. Ichihashi
,
Katsuhiro Honda
The 14th IEEE International Conference on Fuzzy…
2005
Corpus ID: 12335175
By alleviating theoretical strictness, a broad class of membership functions can be used in fuzzy c-means (FCM) clustering from…
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Highly Cited
2004
Highly Cited
2004
Iteratively reweighted least-squares implementation of the WLAV state-estimation method
R. Jabr
,
B. Pal
2004
Corpus ID: 15813867
An implementation of the weighted least absolute value (WLAV) method for obtaining an estimate of the state of the power system…
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1996
1996
Percentile curves via iteratively reweighted least squares
P. H. Merz
1996
Corpus ID: 124170875
The p-th percentile curve for a set of data is a curve below which p-percent of the data lie. Percentile curves are useful for…
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1990
1990
Multidimensional autoregressive parameter estimation using iteratively reweighted least squares
S. Blostein
,
H. Richardson
IEEE International Conference on Acoustics…
1990
Corpus ID: 122734954
Two-dimensional robust autoregressive parameter estimation is performed on image data using an iteratively reweighted least…
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Review
1982
Review
1982
Iteratively Reweighted Least Squares - Encyclopedia Entry.
D. Rubin
1982
Corpus ID: 118162095
Abstract : Iteratively Reweighted least Squares (IRLS) is a computationally attractive method for providing estimated regression…
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