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 2626 for “"distances"”.
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Distances
… the subjective origin of the first. The drive of Distances is thereby to create a sort parabola: a subjective, semi-autobiographical origin, to an objective, purely fictional crest, then a return to that subjective, semi-autobiographical origin. The entire collection is a holistic, ultimately …
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Distances in planar graphs
In graph theory, the degree diameter problem asks for the maximum number of vertices a graph with given maximum degree and diameter can have. The face-degree of a face in plane graph is the length of the shortest closed walk traversing the boundary of the face. A plane graph is ρ-face-degree …
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Sketching distances in graphs
… properties of such a graph are the shortest path distances between its nodes - that is, the minimum length of a path from each point A to each point B, capturing the time or resource cost of travelling from one place to another in the space represented by the graph. There are plenty of nice …
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Injurious Distances: Mobility, Space, Realism
American literary realism and naturalism emerged in an era in which the forces of capital were remaking not only the American social landscape, but also the physical landscape as such. Social upheaval was accompanied by new experiences of physical speed, telecommunications, and the mechanization of …
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New Algorithms andMethodology for Analysing Distances
Distances arise in a wide variety of di�erent contexts, one of which is partitional clustering, that is, the problem of �nding groups of similar objects within a set of objects.¿ese groups are seemingly very easy to �nd for humans, but very di�cult to �nd for machines as there are two major …
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Dense Optical Flow Estimation using Diffusion Distances
… Local image features are recorded by diffusion distances calculated from the graph Laplacian whose kernel function depends on inter-pixel intensity differences in a certain neighbourhood. These features are then used in a correlational optical flow estimation algorithm to illustrate the …
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Distances and Stability in Biological Network Theory
… the key point being the identification of distances that can compare network structures improving over classical measures based on the confusion matrix, too coarse for this task. A combination of spectral and edit distances especially tailored for biological networks will be investigated …
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Being Vulnerable: Distances of the Sublime Anthropocene
… During this process of moving through different distances of time and physical distances of engagement, she tentatively uncovers possibilities for a ‘new’ Sublime Anthropocene. It is telling that the artistic projects, forged through collaboration, remain to a degree unfinished, always offering a …
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Interstellar Dust and Distances to Planetary Nebulae
Made available in DSpace on 2014-12-10T23:45:12Z (GMT). No. of bitstreams: 1 7219872.pdf: 3519216 bytes, checksum: f7ecce761bb4c7dc9bfcbe0d059e9d55 (MD5) Previous issue date: 1972
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Establishing a Trustworthy First Approximation for Evolutionary Distances
… method that estimates evolutionary distances by measuring the decay of exact sub-sequence matches as a function of match length. SlopeTree corrects for horizontal gene transfer, for composition variation and low complexity sequences, and for branch-length nonlinearity caused by …
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Rankings: From similarity distances computation to interactive synchronization
… We first address the problem of computing distances between rankings that take into account similarities between candidates. The need for evaluating such distances is governed by applications as diverse as rank aggregation, bioinformatics, social sciences and data storage. The problem may …
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Inline skates designed for travel over short distances
… to be a viable form of transportation over short distances. Current inline skates are optimized for transportation over long distances but are not useful for travel over short distances because of the time required to put them on and the fact that they are cumbersome to carry. Through a survey and …
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Safe Stopping Distances and Times in Industrial Robotics
… testing of a network for prediction of stopping distances and times. Robot stopping behavior is considered in the context of relevant standards ISO 10218-1, ISO/TS 15066 and IS0 13849-1, which inform the definitions for safety related stopping distances and times used in this study. Prior work on …
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On the Distances and Energetics of AGN Outflows
… of density diagnostics in order to determine the distances and energetics of observed outflows. The main findings of these analyses are that 1) outflows are often at distances of hundreds to thousands of parsecs from the central supermassive black hole and 2) quasars outflows can be sufficiently …
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Visualizing mixed variable-type multidimensional data using tree distances
This research explores the use of the tree distances of Buttrey and Whitaker to visualize multidimensional data of mixed-variable types, having both numerical and categorical data. Tree distances measure dissimilarities among observations in a data set while exploiting desirable properties of …
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Carbon halogen distances in methyl chloride and methyl bromide
Thesis (M.S.)--Michigan State University. Dept. of Chemistry, 1964
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Distances on rankings: from social choice to flash memories
… on the chosen distance function; in statistics, distances between rankings are used to measure correlation and to model data; and in coding theory, in the context of rank modulation, designing codes with a given minimum distance is required for preserving data integrity. It is however well-known …
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The Nature of Spark Discharge at Very Small Distances
Submitted by Megan Hayes (mohayes2@illinois.edu) on 2010-06-18T15:30:13Z No. of bitstreams: 1 1910_williams.pdf: 925355 bytes, checksum: 338b17f3c1867bfc68b17922c417548b (MD5)
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Learning image segmentation and hierarchies by learning ultrametric distances
… error. It is based the theory of ultrametric distances and hierarchical clustering. Image segmentation is posed as the problem of learning and classifying ultrametric distances between image pixels. Ultrametric distances on point set have the special property that
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