Results 11 to 20 of about 624,142 (260)
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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Anomaly detection by robust statistics [PDF]
WIREs Data Mining and Knowledge Discovery, 2017 Real data often contain anomalous cases, also known as outliers. These may spoil the resulting analysis but they may also contain valuable information. In either case, the ability to detect such anomalies is essential. A useful tool for this purpose is robust statistics, which aims to detect the outliers by first fitting the majority of the data and ...
Rousseeuw, Peter, Hubert, Mia
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Robust Dynamic Mode Decomposition
IEEE Access, 2022 This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy ...
Amir Hossein Abolmasoumi +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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A Robust Method for Gaussian Profile Estimation in the Case of Overlapping Objects
IEEE Access, 2021 The precise stellar object identification is one of the major research fields in astronomy. In astronomical images, the 2D Gaussian function provides a good approximation of stellar objects.
Anita Gribl, Davor Petrinovic
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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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Quantifying the time course of visual object processing using ERPs: it’s time to up the game
Frontiers in Psychology, 2011 Hundreds of studies have investigated the early ERPs to faces and objects using scalp and intracranial recordings. The vast majority of these studies have used uncontrolled stimuli, inappropriate designs, peak measurements, poor figures, and poor ...
Guillaume A Rousselet, Cyril R Pernet
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A survey of robust statistics [PDF]
Statistical Methods and Applications, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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RES-Q: Robust Outlier Detection Algorithm for Fundamental Matrix Estimation
IEEE Access, 2018 Detection of outliers present in noisy images for an accurate fundamental matrix estimation is an important research topic in the field of 3-D computer vision.
Sushil Pratap Bharati +3 more
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