Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 106 for “"Robust Methods"”.
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Robust methods in data mining
… the first part of the thesis we consider whether robust methods can be applied to clustering - in particular, we perform clustering on fuzzy data using two methods originally developed for outlier-detection. The fuzzy data clusters are characterised by two intersecting lines such that points …
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Robust methods in Mendelian randomization
… estimate from traditional instrumental variable methods will be biased. Since Mendelian randomization studies using publicly available summary level data (estimates and standard errors of the genetic associations with the risk factor and the outcome) from large consortia can be performed with …
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Robust Methods for Image Restoration and Edge Detection
In this thesis, three separate but related topics are considered. Each topic deals with the problem of noise in various aspects of image processing and computer vision.
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Efficient and Robust Methods for Computing Trust in Multi-Agent Systems
… thesis, we evaluate existing state-of-the-art methods for computing indirect trust in numerous simulations, demonstrating that the best ones tend to be of prohibitively large complexity. We propose a new and easy to implement method for computing indirect trust, based on a simple prediction …
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Contributions to Robust Methods: Modified Rank Covariance Matrix and Spatial-EM Algorithm
Classical multivariate statistical inference methods including multivariate analysis of variance, principal component analysis, factor analysis, canonical correlation analysis are based on sample covariance matrix. Those moment-based techniques are optimal (most efficient) under the normality …
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Robust methods for analyzing multivariate responses with application to time-course data
… impacts on the quality of the least squares methods. We use Huber's loss function in developing robust methods for time-course multivariate responses. We use spline basis expansion of the time-varying regression coefficients to reduce dimensionality, and downweight the influence of outliers …
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Magnetic-field-based navigation: Empirical evidence of robust methods over contemporary methods
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Magnetic-field-based navigation: Empirical evidence of robust methods over contemporary methods
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Statistically robust methods for the integration and analysis of X-ray diffraction data from pixel array detectors
… aim of this project is to develop statistically robust methods for the integration and analysis of X-ray diffraction data to address these challenges. A method for estimating the background under each reflection during integration that is robust in the presence of pixel outliers is presented. …
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Advances in grasping and vehicle contact identification : analysis, design and testing of robust methods for underwater robot manipulation
This thesis focuses on improving the productivity of autonomous and telemanipulation systems consisting of a manipulator arm mounted to a free flying underwater vehicle. Part I minimizes system sensitivity to misalignment by developing a gripper and a suite of handles that passively self align when …
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Advances in grasping and vehicle contact identification : analysis, design and testing of robust methods for underwater robot manipulation
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.
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An assessment of methods in "Assessing the impact of the size and scope of government on human well-being".
This thesis applies statistical methods used by economists to a recent paper in the political science literature. As a basis for suggesting more robust methods to be employed in future research, I will replicate and extend the analysis of Assessing the Impact of the Size and Scope of Government on …
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Robust planning for unmanned underwater vehicles
… subsequently uncertainty is addressed using a robust optimization approach. Solutions were tested through simulation and computational results are presented which indicate that the robust approach handles larger problems than could previously be solved in a reasonable running time while …
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Predictive vision
… Predictive Vision with the goal to develop robust methods that anticipate the next events that may happen in images or videos. Importantly, we develop methods for eciently scaling learning algorithms to learn an extensive set of rules that enable richer visual understanding. While large …
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The use of machine vision to describe and evaluate froth phase behaviour and performance in mineral flotation systems
… stability would need to be measured using a robust method suitable for on-line operation. Within the literature, no robust methods are available to measure either the concentration of solids on the froth surface, or froth stability in a manner suitable for on-line operation. Thus, two novel …
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Are jurors persuaded by the "concreteness of truth?" : the impact of eyewitness concreteness, juror instructions, and visualization on juror decision making.
… Future research should consider utilizing more robust methods to manipulate concreteness.
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Uncertainty Estimation for Single Stage Object Detection
… in safety-critical applications, necessitating robust methods for uncertainty quantification. Although full Bayesian inference would provide the most principled treatment of uncertainty, it is computationally impractical or even infeasiblefor modern largescale models and real-time detection …
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Algorithms for genomics and genetics : compression-accelerated search and admixture analysis
… software packages provide fast, sensitive, and robust methods for detecting and analyzing signatures of admixture created by genetic drift and recombination on genome-wide, large-sample scales.
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Submesoscale Biophysical Interactions on the Gulf Stream: Eddies, Fronts, and New Observational Methods
… observational needs with drones, 2) develop more robust methods for retrieving ocean color from drones, 3) integrate observations from new and existing sampling technologies to investigate phytoplankton enhancement and shifts in phytoplankton community composition on the Gulf Stream front, and 4) …
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The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data
… a linear hierarchical structure. We propose the robust generalized weighted likelihood estimators and the new cubic-inverse weight for the estimation of the finite mixture model (Zhan et al., 2011). We propose two robust methods for estimating the GLMFM model, which accommodate the contaminations …
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