Results 11 to 20 of about 368,778 (261)

Robust Optical Flow Estimation [PDF]

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   +3 more sources

On the Adversarial Robustness of Robust Estimators [PDF]

open access: yesIEEE Transactions on Information Theory, 2020
Motivated by recent data analytics applications, we study the adversarial robustness of robust estimators. Instead of assuming that only a fraction of the data points are outliers as considered in the classic robust estimation setup, in this paper, we consider an adversarial setup in which an attacker can observe the whole dataset and can modify all ...
Lifeng Lai, Erhan Bayraktar
openaire   +2 more sources

Robust Estimation via Robust Gradient Estimation [PDF]

open access: yesJournal 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.
Adarsh Prasad   +3 more
openaire   +2 more sources

Robust Estimation of Polychoric Correlation. [PDF]

open access: yesPsychometrika
Abstract Polychoric correlation is often an important building block in the analysis of rating data, particularly for structural equation models. However, the commonly employed maximum likelihood (ML) estimator is highly susceptible to misspecification of the polychoric correlation model, for instance, through violations of latent ...
Welz M, Mair P, Alfons A.
europepmc   +4 more sources

Robust ΔΔct estimate

open access: yesGenomics, 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
openaire   +2 more sources

A Robust Algorithm for Photon Denoising and Bathymetric Estimation Based on ICESat-2 Data

open access: yesRemote 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
doaj   +1 more source

Robust Loop Closure Selection Based on Inter-Robot and Intra-Robot Consistency for Multi-Robot Map Fusion

open access: yesRemote 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
doaj   +1 more source

Sub-Bottom Sediment Classification Using Reliable Instantaneous Frequency Calculation and Relaxation Time Estimation

open access: yesRemote 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
doaj   +1 more source

Robust Dynamic Estimation [PDF]

open access: yesMarketing Science, 2017
Managing marketing resources over time requires dynamic model estimation, which necessitates specifying some parametric or nonparametric probability distribution. When the data generating process differs from the assumed distribution, the resulting model is misspecified. To hedge against such a misspecification risk, the extant theory recommends using
Olivier Rubel, Prasad A. Naik
openaire   +3 more sources

Msplit Estimation Approach to Modeling Vertical Terrain Displacement from TLS Data Disturbed by Outliers

open access: yesRemote 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
doaj   +1 more source

Home - About - Disclaimer - Privacy