The noise model parameters firstly by using robust regressive estimation are estimated, then the noise in target image by using S_a(.

Application of robust regression in the hydraulic structure safety monitoring modeling;

A motion based segmentation scheme for image motion estimation is proposed using variable order parameterized models of image motion and robust regression.

Retinex image enhancement method based on robust estimation;

Adaptive image smoothing based on robust estimation;

Motion segmentation based on multi-model robust estimation;

The limitation of standard optical flow estimation is analyzed and the reasons are pointed out,the practicability of optical estimation algorithm has been improved by using robust estimation technology.

Based on the robust estimation in the state-space and the adaptive modification of prediction covariance matrix, a new algorithm was proposed to track Thevenin equivalent parameters.

A comparative study of systematic sampling and regression estimate for controlling total volume was conducted.

Through combining the advantages of field theory with adaptive resonance theory and contraposing the characteristics of regression estimate problem, a novel neural network regression estimate algorithm FTART3 is proposed in this paper.

the principal component analysis and regression estimate.

The basic ideas of SVM for pattern recognition and regression are introduced.

A support vector machine for regression is presented.

Support Vector Machine (SVM) for regression has recently attracted growing research interest due to its obvious advantage such as nonlinear function approximation with arbitrary accuracy, and good generalization ability, unique and globally optimal solutions.