Robust Learning Algorithm Based on Iterative Least Median of Squares

Robust PLS regression based on simple least median squares regression

An Iterative Learning Algorithm Based on Least Squares Support Vector Regression Machines

Aiming at the problem of the large training data set leading to amounts of calculation a sparse approximation algorithm of least squares support vector machine are proposed. Firstly using the thought of matrix block, convert the optimization problem of a Least Squares support vector machine into low order symmetric positive definite linear systems. Furthermore, use conjugate gradient algorithm ...

Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems

This paper focuses on the identification problem ofWiener nonlinear systems.The application of the key-term separation principle provides a simplified form of the estimated parameter model. To solve the identification problem of Wiener nonlinear systems with the unmeasurable variables in the information vector, the least-squares-based iterative algorithm is presented by replacing the unmeasurab...

Robust optic flow estimation using least median of squares

A new approach to optic flow calculation, based on a highly robust statistical technique, is presented. In this algorithm, the optic flow problem is first formulated as a standard least squares problem. Then, its associated closest point problem is introduced and the transformation which takes this problem to a standard regression problem is provided. The Least Median of Squares technique is us...

Least Median of Squares Regression

Classical least squares regression consists of minimizing the sum of the squared residuals. Many authors have produced more robust versions of this estimator by replacing the square by something else, such as the absolute value. In this article a different approach is introduced in which the sum is replaced by the median of the squared residuals. The resulting estimator can resist the effect of...