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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Scale Estimation"”.
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Problems in large-scale estimation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Autonomous visual-inertial navigation and absolute visual scale estimation
Made available in DSpace on 2016-03-02T20:24:16Z (GMT). No. of bitstreams: 2 DENG-THESIS-2015.pdf: 10264670 bytes, checksum: 79c01524ac593eb282a62d77039463b6 (MD5) LICENSE.txt: 4207 bytes, checksum: 906aa460aa653867500b8233c87788c2 (MD5) Previous issue date: 2015-12-08
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Statistical field estimation and scale estimation for complex coastal regions and archipelagos
… geophysical fluid dynamics is the optimal estimation of gridded fields and of spatial-temporal scales directly from the spatially irregular and multivariate data sets that are collected by varied instruments and sampling schemes. In this work, we derive and utilize new schemes for the …
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Multiscale stochastic realization and model identification with applications to large-scale estimation problems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Sea surface wave reconstruction from marine radar images
… the reconstruction process and an improved wave scale estimation model using non-coherent radar data are proposed, which are of great importance in the reconstruction process. A radar image calibration method based on wave field simulation is put forward in order to improve the quality of …
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Segmentation and scale detection algorithms for automated analysis of digitized historical maps
… of objects in historical maps, automatic estimation of map scale and the design of a mathematical framework for understanding the uncertainties associated with map scale estimates. The problems are motivated by the lack of accuracy and consistency in the current analysis of geographical …
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Multiscale Gaussian graphical models and algorithms for large-scale inference
… compactly with graphs. In particular, multiscale tree-structured graphs have attracted much attention for their computational efficiency as well as their ability to capture long-range correlations. However, tree models have limited modeling power that may lead to blocky artifacts. Previous …
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Practical Aspects Of Kernel Smoothing For Binary Regression And Density Estimation
… in three areas: binary regression, density estimation and Poisson regression sample size calculations. Both nonparametric and semiparametric binary regression estimators are examined in detail, and extended to two bandwidth cases. The asymptotic behaviour of these estimators is presented in …
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High-dimensional and dependent data with additional structure
… cannot travel long distances, then the estimation of past-present and present-present dependencies of air pollution at monitors can be restricted to short distances. Here, a novel two-step estimation approach is proposed to estimate the range of dependence along with the parameters of …
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Cluster-Based Bounded Influence Regression
… dramatically influence ordinary least squares estimation while low-breakdown procedures such as M regression and bounded influence regression may be unable to combat a small percentage of outliers. A high-breakdown procedure such as least trimmed squares (LTS) regression can accommodate up to …
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Spatial accumulation patterns of snow water equivalent in the southern Rocky Mountains
… to cost limitations, which necessitates basin-scale estimation of SWE. Modeling often assumes consistency in the spatial distribution of SWE, which may not be correct. Identifying patterns and variability in the spatial distribution of SWE can improve snow hydrology models and result in more …
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Scalable online estimation with performance guarantees: Application to traffic network monitoring
… is motivated by the need for scalable online estimation with provable performance in cyber-physical systems, especially in traffic monitoring applications. While model-based traffic estimation has achieved great success via experimental deployments, there are substantial open questions on the …
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On-device Classification of Human-induced Non-Line-of-Sight on Chest-Worn Ultra-wideband Wearables
… (HNLOS) conditions, may lead to meter-scale estimation errors, heavily reducing the reliability of UWB systems in day-to-day deployment. Although UWB performance has been widely studied, the specific effects of HNLOS on the technology remain inadequately characterized, and the …
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Cluster_Based Profile Monitoring in Phase I Analysis
… 50% breakdown point, is regression equivariant, scale and affine equivariant and distributionally is asymptotically normal. Case studies and Monte Carlo results demonstrate the performance advantage of CBI over other popular robust regression procedures regarding coefficient stabil-ity, scale …