Least-squares function approximation
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- IEEE Transactions on Signal Processing
We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in a… (More)
In this paper we propose the use of the least-squares based methods for obtaining digital rational approximations (IIR filters… (More)
- Proceedings Shape Modeling Applications, 2004.
In this paper we introduce least-squares meshes: meshes with a prescribed connectivity that approximate a set of control points… (More)
- Journal of Machine Learning Research
We propose a new approach to reinforcement learning for control problems which combines value-function approximation with linear… (More)
- Symposium on Computer Animation
We present a process called multi-weight enveloping for deforming the skin geometry of the body of a digital creature around its… (More)
A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into charts… (More)
- IEEE Trans. Image Processing
A least-squares model-based (LSMB) approach to digital halftoning is proposed. It exploits both a printer model and a model for… (More)
We introduce two new temporal diffence (TD) algorithms based on the theory of linear least-squares function approximation. We… (More)
- IEEE Trans. Med. Imaging
Presents an image reconstruction method for positron-emission tomography (PET) based on a penalized, weighted least-squares (PWLS… (More)
- ACM Trans. Math. Softw.
NL2SOL is a modular program for solving nonhnear least-squares problems that incorporates a number of novel features. It… (More)