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.
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Showing 1 to 20 of 942 for “"manifold"”.
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Manifold
Manifold is a collection of short fiction with a critical introduction explaining the seven pieces in further detail. The critical introduction also explains my reasons for writing short stories. Manifold is an attempt to understand deeply the structure of the short story. I extensively studied …
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Manifold Sculpting
Manifold learning algorithms have been shown to be useful for many applications of numerical analysis. Unfortunately, existing algorithms often produce noisy results, do not scale well, and are unable to benefit from prior knowledge about the expected results. We propose a new algorithm that …
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Supervised manifold distance segmentation
… for image and volume data segmentation based on manifold distance metrics. In this approach, pixels in an image are not considered as points with color values arranged in a grid. In this way, a new data set is built by a transform function from one traditional 2D image or 3D volume to a manifold …
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Manifold aligned density estimation
… tasks. This thesis is mainly concerned with manifold aligned density estimation problems. In particular, the work presented in this thesis includes efficiently learning the density distribution on very large-scale datasets and estimating the manifold aligned density through explicit manifold …
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Manifold Optimization for Robotic Perception
… rotations. However, they naturally reside in the manifold space, i.e., the special orthogonal group SO(3), where Euclidean geometry with which we are familiar is no longer applicable. To reliably and accurately deploy state estimation algorithms for realworld applications, the underlying …
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Manifold Learning From Time Series
We apply our manifold learning algorithm to synthetic data and real world applications. The experiment on synthetic data clearly demonstrates that by taking temporal dependency among global coordinates into consideration our proposed algorithm achieves superior learning results than other manifold …
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A 24-dimensional spin manifold.
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1969.
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Sensor Array Processing with Manifold Uncertainty
… array configuration is referred to as the array manifold. In this thesis, array manifold ambiguities for linear arrays of omni-directional sensors in non-dispersive fields are considered. </p><p>First, the problem of underwater a hydrophone array towed behind a maneuvering platform is considered. …
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Visualising Energy Landscapes Through Manifold Learning
… by adapting existing, state-of-the-art manifold learning approaches to better deal with the structural datasets obtained from searching. Also discussed is a method for basin volume computation, previously applied to model periodic systems with fixed unit cells. Adapting this method to …
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Applications of 3-manifold Floer Homology
… preliminaries necessary to understand 3-manifold Floer Homology constructed by Peter Kronheimer and Tomasz Mrowka in [16], along with some properties of this theory, calculations for specific manifolds, and applications to 3-manifold topology.
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Brownian motions on a Riemannian manifold
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1961.
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Isoparametric hypersurfaces with a homogeneous focal manifold
… in spheres with a homogeneous focal manifold is a project that has been started by Linus Kramer. It extends results by E. Cartan and Hsiang and Lawson. Kramer does most part of this classification in his Habilitationsschrift. In particular he obtains a classification for the cases …
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Nascar Restrictor Plate Exhaust Manifold Design Strategies
… paper presents the results of a study on exhaust manifold design for a NASCAR Restrictor plate internal combustion engine. A computer simulation model was developed using Ricardo WAVE software. WAVE is a computer-aided engineering code developed by Ricardo to analyze the dynamics of pressure …
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Theory and algorithms for swept manifold intersections
… although a very similar type of objects - swept manifolds. In particular, effective computability of swept manifold intersections is of major concern. The main goal of this dissertation is to conduct a study of swept manifolds and, based on the findings, develop methods for computing swept …
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The manifold operations of the gothic double
<p>The gothic novel’s emergence as a dominant genre in the 19th century is illustrative of a shift in popular ideology taking place in Western Europe during this period. Competing viewpoints, particularly between opposing classes, directly reflect the uncertainties, anxieties, and aspirations of a …
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Nilpotent orbits and the affine flag manifold
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1997.
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Derivative-Free Meta-Blackbox Optimization on Manifold
… functions lie on a latent low-dimensional manifold, which can be further shared among problem instances, the proposed method jointly learns the meta-initialization of a search point and a meta-manifold. This novel approach enables the efficient adaptation of the optimization process to new …
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Treatment planning for manifold multi-ion particle therapy
… a new open source treatment planning system for manifold multi-ion particle therapy based on a hybrid Monte Carlo and linear optimisation approach. The developed TPS utilises a library of Monte Carlo simulation data for up to eight individual ion species (H, He, Li, C, O, Ne, Si and Fe) of many …
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