Publications associées à Total least squares

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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

Total least squares

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Fast Initial Continuous Current Pulses vs Return Stroke Pulses in Tower-initiated Lightning

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

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

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

A Universal Primal-Dual Convex Optimization Framework

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

Forecasting Uncertainty in Electricity Demand

Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon

Lidar-Based Relative Position Estimation and Tracking for Multi-Robot Systems

Fast Initial Continuous Current Pulses vs Return Stroke Pulses in Tower-initiated Lightning

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

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

A Universal Primal-Dual Convex Optimization Framework

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

Forecasting Uncertainty in Electricity Demand

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon

Lidar-Based Relative Position Estimation and Tracking for Multi-Robot Systems