Results 21 to 30 of about 1,990,709 (285)
Applied Sciences, 2023 Recently the incorporation of artificial intelligence has allowed the development of valuable methodological advances in taphonomy. Some studies have achieved great precision in identifying the carnivore that produced tooth marks.
Miguel Ángel Maté-González +7 more
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Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis
Entropy, 2020 Minimum density power divergence estimation provides a general framework for robust statistics, depending on a parameter α , which determines the robustness properties of the method. The usual estimation method is numerical minimization of the power
Marco Riani +3 more
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Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine.
M. Mohammadi, M. Sarmad
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Entropy, 2020 We review the sampling and results of the radiocarbon dating of the archaeological cloth known as the Shroud of Turin, in the light of recent statistical analyses of both published and raw data.
Paolo Di Lazzaro +5 more
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Robustne statistične metode, Dopplerjeva opazovanja in vpliv večpotja pri opazovanjih GNSS v oteženih razmerah ( = Robust statistics, Doppler observations and multipath effect in GNSS in adverse conditions) [PDF]
Geodetski Vestnik, 2016 High sensitivity GPS receivers represent an attempt at seamless navigation in conditions that are not favourable for satellite reception.
Klemen Kozmus Trajkovski +2 more
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Robust Statistical Face Frontalization [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 Recently, it has been shown that excellent results can be achieved in both facial landmark localization and pose-invariant face recognition. These breakthroughs are attributed to the efforts of the community to manually annotate facial images in many different poses and to collect 3D facial data.
Christos Sagonas +3 more
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Generalized resilience and robust statistics
The Annals of Statistics, 2022 Robust statistics traditionally focuses on outliers, or perturbations in total variation distance. However, a dataset could be corrupted in many other ways, such as systematic measurement errors and missing covariates. We generalize the robust statistics approach to consider perturbations under any Wasserstein distance, and show that robust estimation ...
Banghua Zhu +2 more
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About Validation-Comparison of Burned Area Products
Remote Sensing, 2020 This paper proposes a validation-comparison method for burned area (BA) products. The technique considers: (1) bootstrapping of scenes for validation-comparison and (2) permutation tests for validation.
Germán M. Valencia +4 more
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Analysis of ‘Pre-Fit’ Datasets of gLAB by Robust Statistical Techniques
Stats, 2021 The GNSS LABoratory tool (gLAB) is an interactive educational suite of applications for processing data from the Global Navigation Satellite System (GNSS).
Maria Teresa Alonso +5 more
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Performance of Some Estimators of Relative Variability
Frontiers in Applied Mathematics and Statistics, 2019 The classic coefficient of variation (CV) is the ratio of the standard deviation to the mean and can be used to compare normally distributed data with respect to their variability, this measure has been widely used in many fields. In the Social Sciences,
Raydonal Ospina +1 more
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