搜索结果: 1-13 共查到“Robust estimation”相关记录13条 . 查询时间(0.062 秒)
A Robust Estimation Algorithm of Epipolar Geometry through the Hough Transform
Computer vision Fundamental Matrix Epipolar Geometry Collinear Point Redundancy the Hough Transform
2015/12/3
Fundamental matrix is an algebraic expression of the epipolar geometry, and plays a very important role in the computer vision. It is all along an important research topic that how to raise the precis...
STEREO IMAGE MATCHING USING ROBUST ESTIMATION AND IMAGE ANALYSIS TECHNIQUES FOR DEM GENERATION
Image matching computer vision image understanding DEM
2014/12/31
Digital Elevation Models (DEM) produced by digital photogrammetry workstations are often used as a component in complex Geographic Information Systems (GIS) modeling. Since the accuracy of GIS databas...
Robust estimation of magnitude–frequency relationship parameters
Modified maximum likelihood Magnitude–frequency relationship Seismic hazard North Anatolian fault zone
2012/4/26
The precise estimation of the a and b parameters of Richter’s magnitude–frequency relationship is of primary importance, since the evaluation of seismicity and assessment of seismic hazard depend on t...
Robust estimation of magnitude–frequency relationship parameters
Modified maximum likelihood Magnitude–frequency relationship Seismic hazard North Anatolian fault zone
2012/4/26
The precise estimation of the a and b parameters of Richter’s magnitude–frequency relationship is of primary importance, since the evaluation of seismicity and assessment of seismic hazard depend on t...
Robust Estimation through Schoenberg transformations
Correspondence Analysis Euclidean distances Huber func-tion Huygens principles M-estimators Schoenberg transformations Tukey bisquare
2011/3/24
Schoenberg transformations, mapping Euclidean configurations into Euclidean configurations, define in turn a transformed inertia, whose minimization produces robust location estimates. The procedure o...
According to the Loss Distribution Approach, the operational risk of a bank is determined as 99.9% quantile of the respective loss distribution, covering unexpected severe events. The 99.9% quantile i...
Robust Estimation of Ultrasound Pulses Using Outlier-Resistant De-Noising
Outlier-resistant estimation ultrasound pulse estimation
2010/1/6
A different approach to the problem of estimation of
the ultrasound pulse spectrum, which usually arises as a part of
ultrasound image restoration algorithms, is presented. It is shown
that this es...
Constrained robust estimation of magnetotelluric impedance functions based on a bounded-influence regression M-estimator and the Hilbert transform
robust estimation magnetotelluric impedance functions bounded-influence regression M-estimator
2009/10/30
Robust impedance estimation procedures are now in standard use in magnetotelluric (MT) measurements and research. These always yield impedance estimates which are better than the conventional least sq...
Robust estimation and finite population。
The papex deals with the concept of robustness given
by Zielidski (see [17J and [18]). The uniformly most bias-robust
estimates of the scale parameter, based on order statistics and
spacings, for s...
Estimating functions of variance components is
considered. The problem is to find an estimator, the variance of
which changes as little as possible when the kurtosis of the
underlying distribution ...
Robust estimation of hydrological model parameters
Robust estimation hydrological model parameters
2009/5/6
The estimation of hydrological model parameters is a challenging task. With increasing capacity of computational power several complex optimization algorithms have emerged, but none of the algorithms ...
Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data
grouped binary data distortions hierarchical models beta-binomial beta-logistic robust estimation forecasting
2009/2/23
The paper focuses on robust estimation and forecasting techniques for grouped binary data with
misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model ...