For real-time disparity estimation from stereo images the coordinates of feature points are evaluated. This paper analyses the influence of camera noise on the accuracy of feature point coordinates of a feature point detector similar to the Harris Detector, modified for disparity estimation. As a result the error variance of the horizontal coordinate of each feature point and the variance of ea...

This paper presents a state estimation algorithm of a single variable nonlinear system to which the stochastic approximation is applied. First, under a weaker condition than any previous one, it is shown that the estimation error by this algorithm converges to zero in the mean square for a disturbance free message process. Further, it is clarified that, under a still weaker condition, the estim...

Value-at-Risk (VaR) is increasingly used in portfolio risk measurement, risk capital allocation and performance attribution. Financial risk managers are therefore rightfully concerned with the precision of typical VaR techniques. The purpose of this paper is to assess the precision of common dynamic models and to quantify the magnitude of the estimation error by constructing confidence interval...

in the water resources planning and management, rainfall is considered as the main representative factor of region's hydroclimate system. there is a high level of spatial and temporal variability in rainfall events. rain gauges are used for precipitation measurement in different points of the region. due to limitations of rain gauges development, it is impossible to measure the exact distr...

Classification in bioinformatics often suffers from small samples in conjunction with large numbers of features, which makes error estimation problematic. When a sample is small, there is insufficient data to split the sample and the same data are used for both classifier design and error estimation. Error estimation can suffer from high variance, bias, or both. The problem of choosing a suitab...