Results 31 to 40 of about 1,524,562 (340)

Robust Optical Flow Estimation

open access: yesImage Processing On Line, 2013
n this work, we describe an implementation of the variational method proposed by Brox etal. in 2004, which yields accurate optical flows with low running times.
Javier Sánchez Pérez   +2 more
doaj   +1 more source

Robust and Efficient Assessment of Potency (REAP) as a quantitative tool for dose-response curve estimation

open access: yeseLife, 2022
The median-effect equation has been widely used to describe the dose-response relationship and identify compounds that activate or inhibit specific disease targets in contemporary drug discovery.
Shouhao Zhou   +8 more
doaj   +1 more source

Robustness Analysis of the Estimators for the Nonlinear System Identification

open access: yesEntropy, 2020
The main objective of the system identification is to deliver maximum information about the system dynamics, while still ensuring an acceptable cost of the identification experiment.
Wiktor Jakowluk, Karol Godlewski
doaj   +1 more source

Robust motion estimation using connected operators [PDF]

open access: yes, 1997
This paper discusses the use of connected operators for robust motion estimation The proposed strategy involves a motion estimation step extracting the dominant motion and a ltering step relying on connected operators that remove objects that do not fol
Salembier Clairon, Philippe Jean   +1 more
core   +1 more source

Testing the robustness of robust phase estimation [PDF]

open access: yesPhysical Review A, 2019
The Robust Phase Estimation (RPE) protocol was designed to be an efficient and robust way to calibrate quantum operations. The robustness of RPE refers to its ability to estimate a single parameter, usually gate amplitude, even when other parameters are poorly calibrated or when the gate experiences significant errors.
Adam M. Meier   +3 more
openaire   +2 more sources

A practical method to account for outliers in simple linear regression using the median of slopes [PDF]

open access: yesScientia Agricola, 2023
The ordinary least squares (OLS) can be affected by errors associated with heteroscedasticity and outliers, and extreme points can influence the regression parameters. Methods based on the median rather than on the mean and variance are more resistant to
Luis O. Tedeschi, Michael L. Galyean
doaj   +1 more source

Robust estimation of superhedging prices

open access: yes, 2020
We consider statistical estimation of superhedging prices using historical stock returns in a frictionless market with d traded assets. We introduce a plugin estimator based on empirical measures and show it is consistent but lacks suitable robustness ...
Obloj, Jan, Wiesel, Johannes
core   +1 more source

Application of isometric transformation and robust estimation to compare the measurement results of steel pipe spools

open access: yesOpen Geosciences, 2020
Production of prefabricated pipe spools for the needs of the oil and gas industry requires precise determination of their shape and dimensions. The crucial moment of production is to measure the spool being built, compare it with the design and define ...
Tomasz Świętoń   +3 more
doaj   +1 more source

Characterisation of Terrain Variations of an Underwater Ancient Town in Qiandao Lake

open access: yesRemote Sensing, 2020
The underwater ancient town of Chunan is of great importance in archaeology and tourism. Hence, the efficient mapping and monitoring of the topographical changes in this town are essential.
Fanlin Yang   +5 more
doaj   +1 more source

The Robustness of Estimator Composition

open access: yesCoRR, 2016
14 pages, 2 figures, 29th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona ...
Pingfan Tang, Jeff M. Phillips
openaire   +3 more sources

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