# Non-negative least squares

## Papers overview

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2016

2016

- 24th European Signal Processing Conference…
- 2016

Sparse, non-negative signals occur in many applications. To recover such signals, estimation posed as non-negative least squares… (More)

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2014

2014

- Information
- 2014

Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of… (More)

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2013

2013

- Neurocomputing
- 2013

A non-negative least squares classifier is proposed in this paper for classifying under-complete data. The idea is that unknown… (More)

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2013

2013

- Optimization Methods and Software
- 2013

We present a new algorithm for nonnegative least-squares (NNLS). Our algorithm extends the unconstrained quadratic optimization… (More)

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2012

2012

- International Conference on Signals and…
- 2012

In this work, the problem of constrained coil design is studied. Two approaches to this problem, namely the non-negative least… (More)

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2011

2011

- NIPS
- 2011

Non-negative data are commonly encountered in numerous fields, making nonnegative least squares regression (NNLS) a frequently… (More)

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2011

2011

- 2011

We parallelize a version of the active-set iterative algorithm derived from the original works of Lawson and Hanson (1974) on… (More)

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2011

2011

- BMC Bioinformatics
- 2011

mRNA-Seq technology has revolutionized the field of transcriptomics for identification and quantification of gene transcripts not… (More)

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2005

2005

- CAIP
- 2005

This paper contributes to the solution of the non-negative least squares problem (NNLS). The NNLS problem constitutes a… (More)

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Highly Cited

1997

Highly Cited

1997

- 1997

In this paper a modification of the standard algorithm for non-negativity-constrained linear least squares regression is proposed… (More)

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