# Iteratively reweighted least squares

## Papers overview

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2018

2018

- Medical Image Analysis
- 2018

In this paper, we propose a novel algorithm for analysis-based sparsity reconstruction. It can solve the generalized problem by… (More)

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2016

2016

- IEEE 16th International Conference on Data Mining…
- 2016

Principal component analysis (PCA) is often used to reduce the dimension of data by selecting a few orthonormal vectors that… (More)

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2014

2014

- IEEE Conference on Computer Vision and Pattern…
- 2014

In this paper, we propose a novel algorithm for structured sparsity reconstruction. This algorithm is based on the iterative… (More)

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2014

2014

- Comp. Opt. and Appl.
- 2014

Registration of point sets is done by finding a rotation and translation that produces a best fit between a set of data points… (More)

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Highly Cited

2013

Highly Cited

2013

- 2013

In this paper, we first study q minimization and its associated iterative reweighted algorithm for recovering sparse vectors… (More)

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2013

Highly Cited

2013

- SIAM J. Numerical Analysis
- 2013

In this paper, we first study q minimization and its associated iterative reweighted algorithm for recovering sparse vectors… (More)

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2011

Highly Cited

2011

- SIAM Journal on Optimization
- 2011

We present and analyze an efficient implementation of an iteratively reweighted least squares algorithm for recovering a matrix… (More)

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2010

Highly Cited

2010

- 2010

The scope of application of iteratively reweighted least squares to statistical estimation problems is considerably wider than is… (More)

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2009

2009

- 2009

An implementation of the weighted least absolute value (WLAV) method for obtaining an estimate of the state of the power system… (More)

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1980

1980

- ACM Trans. Math. Softw.
- 1980

A description of a system of subroutines to compute solutions to the iteratively reweighted least squares problem is presented… (More)

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