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 53 for “"distance function"”.
-
Risk adjusted rate of return: Directional distance function approach
… of return (RAROR) that utilizes the directional distance function (DDF) approaches is developed to integrate conventional RAROR in a consistent manner. The sensitivity and the probabilistic analysis for DDF-RAROR are also illustrated. The DDF-RAROR is used to evaluate security performance of …
-
Multi-Dimensional Medial Geometry: Formulation, Computation, and Applications
… 2D and 3D to define a significance measure as a distance function on the medial axis. We show that this distance function is well behaved and it has nice properties. In 2D, we also define a shape center based on this distance function. We then devise an iterative algorithm to compute the distance …
-
Algorithms for design and interrogation of functionally graded material solids
A Functionally Gradient Material (FGM) part is a 3D solid object that has varied local material composition that is defined by a specifically designed function. Recently, research has been performed at MIT in order to exploit the potential of creating FGM parts using a modern fabrication process, …
-
A Comparison of Various Non-Parametric Discriminating Procedures When the Populations Are Bivariate Exponentials
… between the error probabilities for each function was very small. However, the Euclidean distance function consistently performed as well as, and sometimes superior to any of the others studied in the this thesis.
-
A compact piecewise-linear Voronoi diagram for convex sites in the plane, or, Simple paths in a complex world
… log n log m) deterministic time for the convex distance function defined by a convex m-gon.
-
Convergence of Gibbs measures and the behavior of shrinking tubular neighborhoods of fractals and algebraic sets
… sequence of Gibbs measures characterized by the distance function. In Chapter 2 we conclude that the sequence of measures converge to a Hausdorff probability measure equally distributed along self-similar fractals with Hutchinson's Open Set Condition. In Chapter 3 we study spaces of concentric …
-
Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text
… (3) whether to use the standard Euclidean distance function or the matrix distance function for content-based image retrieval; (4) how to convert a PDF into a structured, formatted, reflowable XML representation given a pure-layout PDF document; (5) what document views (such as a term …
-
Differentiable volume rendering using signed distance functions
… represent geometry within the scene as a signed distance function. We also present methods for performing gradient descent upon distance fields while preserving Lipschitz continuity. Unlike most differentiable mesh-based renderers, our renderer can optimize between geometry of different …
-
The Factoradic Integers
… metric", i.e., the integers equipped with a distance function defined by d(n,m)=1/N!, where N is the largest positive integer such that N! divides n-m. Via the process of metric completion, the integers are then extended to a larger set of numbers, the factoradic integers. The properties of …
-
Optimization algorithms for multidimensional scaling with city-block distances and their parallelization /
… is one of them. In applying MDS, a certain real function has to be constructed and minimized. In order to construct the function, a desired distance function has to be selected. If city-block distances are selected, the problem of minimizing such a function becomes a complicated optimization …
-
Optimizavimo algoritmai daugiamatėms skalėms su miesto kvartalo atstumais ir jų lygiagretinimas /
… is one of them. In applying MDS, a certain real function has to be constructed and minimized. In order to construct the function, a desired distance function has to be selected. If city-block distances are selected, the problem of minimizing such a function becomes a complicated optimization …
-
Three approaches to measuring natural resource scarcity : theory and application to groundwater
… 5 duality theory is employed to develop the distance function methodology of deriving shadow groundwater scarcity rents. The empirical application of the model involves estimating a stochastic input distance function from which the in situ shadow price of groundwater is derived. Chapter 6 …
-
Communications in the observation limited regime
… synchronization harder. We show that while the distance function of this non-linear coding problem is intractable in general, it is Euclidean at vanishing SNRs, and root Euclidean at large SNRs. We present sequences that maximize the error exponent at low SNRs under the peak power constraint, …
-
Low dimensional visualization and modelling of data using distance-based models
… in machine learning, namely, the choice of a distance function to describe the similarity of two data points. Often, implicit choices are made, e.g., a spatial scale is chosen to compare images, or features are weighted in a certain way. Unfortunately, different distance functions can yield …
-
Path planning using the Newtonian potential
Potential functions are used to represent the topological structure of free space in solving path planning problems because of the simplicity in the free space representation and the guidance provided by the negative gradient of the potential field in the form of repulsive forces. In this thesis, a …
-
A tale of two time series methods : representation learning for improved distance and risk metrics
… learning due to the importance of computing distances between examples in learning algorithms and present Jiffy, a simple and scalable distance metric learning method for multivariate time series. Our approach is to reframe the task as a representation learning problem -- rather than design …
-
China's Paper Industry: Growth and Environmental Policy during Economic Reform
… chapters: one uses a frontier production function model to examine the impact of China's environmental policy on paper mills' environmental as well as efficiency performance; the other derives shadow prices for pollutants for the same group of mills, based on a distance function model, to …
-
Complexity And Entanglement In Quantum Gravity
… global obstructions to the growth of the distance function along geodesics, which we do not rule out. This constitutes a partial proof of Susskind’s conjecture about the complexity growth of black holes. Finally, we address the black hole information paradox in three dimensions by …
-
An assessment of the application of cluster analysis techniques to the Johannesburg Stock Exchange
… data set. Using Ward's method and the Euclidean distance function, this method appears to be able detect the correct number of clusters on the JSE. Second, the ability of three different clustering algorithms to generate consistent clusters and cluster members over time on the Johannesburg Stock …
Page 1 of 3