Publications associées à An Efficient Mutual Information Optimizer for Multiresolution Image Registration

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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 ...

Idiap2015

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

An Efficient Mutual Information Optimizer for Multiresolution Image Registration

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Chattez avec Graph Search

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

Mean-Field methods for Structured Deep-Learning in Computer Vision

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

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

From averaging to acceleration, there is only a step-size

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

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

From averaging to acceleration, there is only a step-size

Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

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

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

Mean-Field methods for Structured Deep-Learning in Computer Vision

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