A statistical approach towards robust progress estimation

A Statistical Approach Towards Robust Progress Estimation

The need for accurate SQL progress estimation in the context of decision support administration has led to a number of techniques proposed for this task. Unfortunately, no single one of these progress estimators behaves robustly across the variety of SQL queries encountered in practice, meaning that each technique performs poorly for a significant fraction of queries. This paper proposes a nove...

A robust optimization approach to statistical estimation problems

A Robust Statistical Estimation of Internet Traffic

In this paper a new method of estimating flow characteristics in the Internet is developped. For sampled data, a new set of random variables (referred to as observables) is defined, they can be easily evaluated from sampled data. By adopting a convenient mouse/elephant dichotomy also dependent on the traffic, it is shown how these variables give a robust statistical information of long flows. A...

Image denoising: a nonlinear robust statistical approach

Nonlinear filtering techniques based on the theory of robust estimation are introduced. Some deterministic and asymptotic properties are derived. The proposed denoising methods are optimal over the Huber -contaminated normal neighborhood and are highly resistant to outliers. Experimental results showing a much improved performance of the proposed filters in the presence of Gaussian and heavy-ta...

Face Tracking Using Robust Statistical Estimation

This paper presents a statistics-based method for estimating the position and size of a face in complex background. Face position and size are estimated based on robust statistical measurements which are derived from two one-dimensional histograms obtained by projecting the result of skin color filtering. The proposed algorithm also utilizes a linear Kalman filter and a simple nonlinear filter ...