Publications associées à Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Graph Chatbot

Chattez avec Graph Search

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

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

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

Low-Rank Matrix Completion By Riemannian Optimization

Randomized Extended Kaczmarz For Solving Least Squares

Noncontacting benchtop measurements of the elastic properties of shales

When crowding of crowding leads to uncrowding

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

MATHICSE Technical Report : 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

Randomized Extended Kaczmarz For Solving Least Squares

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

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

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

When crowding of crowding leads to uncrowding

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

Low-Rank Matrix Completion By Riemannian Optimization

Noncontacting benchtop measurements of the elastic properties of shales