Publications associées à Texture Mapping by Successive Refinement

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A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Texture Mapping by Successive Refinement

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Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Self Tuning Texture Optimization

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

Robust distributed detection over adaptive diffusion networks

Noncontacting benchtop measurements of the elastic properties of shales

Exploiting Local Quasiconvexity for Gradient Estimation in Modifier-Adaptation Schemes

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Self Tuning Texture Optimization

Noncontacting benchtop measurements of the elastic properties of shales

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Exploiting Local Quasiconvexity for Gradient Estimation in Modifier-Adaptation Schemes

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

Robust distributed detection over adaptive diffusion networks