Results 21 to 30 of about 1,977,172 (267)
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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A practical method to account for outliers in simple linear regression using the median of slopes [PDF]
Scientia 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
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A Robust Statistics Approach to Minimum Variance Portfolio Optimization [PDF]
, 2015 We study the design of portfolios under a minimum risk criterion. The performance of the optimized portfolio relies on the accuracy of the estimated covariance matrix of the portfolio asset returns.
Couillet, Romain +2 more
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Improving Electronic Sensor Reliability by Robust Outlier Screening
Sensors, 2013 Electronic sensors are widely used in different application areas, and in some of them, such as automotive or medical equipment, they must perform with an extremely low defect rate. Increasing reliability is paramount.
Federico Cuesta +1 more
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Statistical Procedures and Robust Statistics [PDF]
, 2002 It is argued that a main aim of statistics is to produce statistical procedures which in this article are defined as algorithms with inputs and outputs. The structure and properties of such procedures are investigated with special reference to topological and testing considerations.
openaire +4 more sources
Frontiers in Psychology, 2013 Pearson’s correlation measures the strength of the association between two variables. The technique is, however, restricted to linear associations and is overly sensitive to outliers.
Cyril R Pernet +2 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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Robust regularized singular value decomposition with application to mortality data [PDF]
, 2013 We develop a robust regularized singular value decomposition (RobRSVD) method for analyzing two-way functional data. The research is motivated by the application of modeling human mortality as a smooth two-way function of age group and year.
Huang, Jianhua Z. +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.
Sagonas, Christos +3 more
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Robust functional principal components: A projection-pursuit approach [PDF]
, 2011 In many situations, data are recorded over a period of time and may be regarded as realizations of a stochastic process. In this paper, robust estimators for the principal components are considered by adapting the projection pursuit approach to the ...
Bali, Juan Lucas +3 more
core +2 more sources