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Iteratively reweighted least squares

Known as: IRLS, Iterative weighted least squares, Iteratively weighted least squares 
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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Papers overview

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2017
2017
Spectral signals often suffer from the common problems of band overlap and random Gaussian noise. To address these problems, we… 
2016
2016
Principal component analysis (PCA) is often used to reduce the dimension of data by selecting a few orthonormal vectors that… 
2015
2015
Automatic target recognition is typically deployed on infrared focal plane arrays with high resolution, which could be costly… 
2013
2013
This paper investigates the interference alignment (IA) solution for a K-user static flat-fading multiple input multiple output… 
2010
2010
This paper introduces a new classifier design method based on regularized iteratively reweighted least squares criterion function… 
2005
2005
By alleviating theoretical strictness, a broad class of membership functions can be used in fuzzy c-means (FCM) clustering from… 
Highly Cited
2004
Highly Cited
2004
An implementation of the weighted least absolute value (WLAV) method for obtaining an estimate of the state of the power system… 
1996
1996
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… 
1990
1990
Two-dimensional robust autoregressive parameter estimation is performed on image data using an iteratively reweighted least… 
Review
1982
Review
1982
Abstract : Iteratively Reweighted least Squares (IRLS) is a computationally attractive method for providing estimated regression…