Results 11 to 20 of about 1,487,401 (267)
Robust Relative Error Estimation [PDF]
Entropy, 2018 Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers.
Kei Hirose, Hiroki Masuda
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Robust Optical Flow Estimation [PDF]
Image 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
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Robust Estimation via Robust Gradient Estimation [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2020 SummaryWe provide a new computationally efficient class of estimators for risk minimization. We show that these estimators are robust for general statistical models, under varied robustness settings, including in the classical Huber ε-contamination model, and in heavy-tailed settings.
Prasad, Adarsh +3 more
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Genomics, 2021 The ΔΔct method estimates fold change in gene expression data from RT-PCR assay. The ΔΔct estimate aggregates replicates using mean and standard deviation (sd) and is not robust to outliers which are in practice often removed before the non-outlying replicates are aggregated. The alternative of using robust statistics such as median and median absolute
Arun, Kumar, Daniel, Lorand
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A Robust Algorithm for Photon Denoising and Bathymetric Estimation Based on ICESat-2 Data
Remote Sensing, 2023 The Ice, Cloud, and Land Elevation Satellite 2 (ICESat-2) is equipped with an Advanced Terrain Laser Altimeter System (ATLAS) with the capability of penetrating water bodies, making it a widely utilized tool for the bathymetry of various aquatic ...
Junsheng Zhong +3 more
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Robust Estimation of Optical Phase Varying as a Continuous Resonant Process [PDF]
, 2013 It is well-known that adaptive homodyne estimation of continuously varying optical phase provides superior accuracy in the phase estimate as compared to adaptive or non-adaptive static estimation.
Huntington, Elanor H. +2 more
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Remote Sensing, 2023 In multi-robot simultaneous localization and mapping (SLAM) systems, the system must create a consistent global map with multiple local maps and loop closures between robot poses.
Zhihong Chen +4 more
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Remote Sensing, 2021 The shift in IF (instantaneous frequency) series and the corresponding relaxation time have the potential to characterize sediment properties. However, these attributes derived from SBP (sub-bottom profiler) data are seldom used for offshore site ...
Shaobo Li +3 more
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The Annals of Statistics, 1992 The study of the stability of parameter estimates for directional data dates back to the late sixties and this paper is an interesting contribution to this domain. The authors consider rotationally symmetric models for directional data with axis of rotation \(\mu\) and concentration parameter \(\kappa\). The prototype is the von Mises distribution. The
He, Xuming, Simpson, Douglas G.
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Remote Sensing, 2022 Terrestrial laser scanning (TLS) is a modern measurement technique that provides a point cloud in a relatively short time. TLS data are usually processed using different methods in order to obtain the final result (infrastructure or terrain models ...
Robert Duchnowski, Patrycja Wyszkowska
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