In mathematics, the idea of least squares can be applied to approximating a given function by a weighted sum of other functions. The bestâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Federico S. Cattivelli, Cassio G. Lopes, Ali H. Sayed
- IEEE Transactions on Signal Processing
- 2008

We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in aâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- Ramiro S. Barbosa, JosÃ© AntÃ³nio Tenreiro Machado, Manuel F. Silva
- Signal Processing
- 2006

In this paper we propose the use of the least-squares based methods for obtaining digital rational approximations (IIR filtersâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Olga Sorkine-Hornung, Daniel Cohen-Or
- Proceedings Shape Modeling Applications, 2004.
- 2004

In this paper we introduce least-squares meshes: meshes with a prescribed connectivity that approximate a set of control pointsâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Michail G. Lagoudakis, Ronald Parr
- Journal of Machine Learning Research
- 2003

We propose a new approach to reinforcement learning for control problems which combines value-function approximation with linearâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Xiaohuan Corina Wang, Cary B. Phillips
- Symposium on Computer Animation
- 2002

We present a process called multi-weight enveloping for deforming the skin geometry of the body of a digital creature around itsâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Bruno LÃ©vy, Sylvain Petitjean, Nicolas Ray, JÃ©rÃ´me Maillot
- SIGGRAPH
- 2002

A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into chartsâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Thrasyvoulos N. Pappas, David L. Neuhoff
- IEEE Trans. Image Processing
- 1999

A least-squares model-based (LSMB) approach to digital halftoning is proposed. It exploits both a printer model and a model forâ€¦Â (More)

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Highly Cited

1996

Highly Cited

1996

- Steven J. Bradtke, Andrew G. Barto
- Machine Learning
- 1996

We introduce two new temporal diffence (TD) algorithms based on the theory of linear least-squares function approximation. Weâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- Jeffrey A. Fessler
- IEEE Trans. Med. Imaging
- 1994

Presents an image reconstruction method for positron-emission tomography (PET) based on a penalized, weighted least-squares (PWLSâ€¦Â (More)

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Highly Cited

1981

Highly Cited

1981

- John E. Dennis, David M. Gay, Roy E. Walsh
- ACM Trans. Math. Softw.
- 1981

NL2SOL is a modular program for solving nonhnear least-squares problems that incorporates a number of novel features. Itâ€¦Â (More)

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