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 65 for “"Distance measures"”.
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Distribution distance measures in generative and privacy models
Distribution distance measures provide a useful class of tools for generative and privacy models. In both cases, the goal is to simulate a data distribution without revealing too much about individual points. While early generative models focused on matching data in a component-wise manner, the …
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Comparison of several distance measures for segmentation and isolated word recognition
Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1982
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On Mining Time Series Data with Random Forest Models: Perspectives from Classification, Anomaly Detection, and Distance Measures
L'abstract è presente nell'allegato / the abstract is in the attachment
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Statistical issues and developments in time series analysis and educational measurement
… The behavior of cluster analysis under different distance measures is explored in Chapter 2, using some of the most common models in educational testing for data generation. Theoretical results on clustering accuracy are given for distance measures used in minimum diameter partitioning and …
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Genetic diversity of midwestern oat germplasm
… variance were calculated for each mating. Four measures of genetic distance between the parents were calculated: geneological distance, Euclidean distance based upon principal components, and the distance measures proposed by Hanson and Casas and Cervantes et al. The relationships between the …
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Metrics and methods for social distance
Distance measures are important for scientists because they illustrate the dynamics of geospatial topologies for physical and social processes. Two major types of distance are generally used for this purpose: Euclidean Distance measures the geodesic dispersion between fixed locations and Cost …
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Speech recognition of foreign accent
… six native Brazilian speakers. Five different distance measures are used for classification. Results show that correct classification is obtained for 88 % of the native English speakers and 80.5 % of the non-native (foreign) English speakers.
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Using the Earth Mover's Distance for perceptually meaningful visual saliency
… the histogram construction method and histogram distance measures have on detecting saliency. Equi-width histograms, which have constant bin size, equi-depth histograms, which have constant density per bin, and diagonal histograms, whose bin widths are determined from constant diagonal portions …
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Adaptable transformation based similarity search in multimedia databases
… a particularly intuitive and flexible class of distance measures where the distance (i.e., dissimilarity) between two objects is modeled as the minimum amount of work that is required for transforming the feature representation of one object into the feature representation of the other. As the …
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An Analysis of Grey Theory for Personal Affective Computing
… of measuring similarity; three correlation measures (including two non-parametric), and two spatial distance measures (cosine and Euclidean distance). This comparison proves grey incidence analysis capable of finding contributing factors where correlations and spatial distance measures are …
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Universal Transfer Learning
Our distance measures and learning algorithms are based on powerful, elegant and beautiful ideas from the field of Algorithmic Information Theory. While developing our transfer learning mechanisms we also derive results that are interesting in and of themselves. We also developed practical …
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Long-term Geospatial Access to Food Environment and Breast Cancer Risk in Metropolitan Chicago
… Food access was quantified using nearest-distance and inverse-distance-weighted (IDW) measures for walking (1.5 miles) and driving (5 miles), capturing realistic neighborhood access over time using Esri’s Network Analysis. IDW captured both density and proximity, whereas nearest distance …
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Audio coding and identification for an interactive television application
… them. The correlation coefficient is used as a distance measure in our IVDS application and compared on the basis of feasibility to other distance measures that have recently been used in the related problems of speech recognition and speaker identity verification. The performance of a few …
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Investigating representations of obfuscated malicious PowerShell
… features such as node count and depth along with distance measures calculated from the node types and node orders within the AST are fairly sufficient to attribute obfuscated scripts to their originating script.
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Spatial and Thematic Ontology in Cultural Heritage Information Systems
… spatial and thematic thesauri. Semantic distance measures were<br/>employed to imprecisely match query terms, providing ranked lists of similar objects. A thematic measure was developed based on semantic-path traversals to expand artefact types. The project explored some of the main …
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A Distance-Based Clustering Framework for Categorical Time Series: A Case Study in Episodes of Care Healthcare Delivery System
… clustering as it accommodates string-based distance measures commonly used by categorical sequences while meeting the expectations of physicians that the method returns an existing pathway as the central point and produces clusters of pathways that are edge-connected. Additionally, the …
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Environmental Equity: Gradient Measures of Race and Social Class in the Areas Surrounding Pennsylvania Superfund Sites
… of Pennsylvania. Using three distinct concentric distance measures, the study uses 1990 census tract data to determine whether Nonwhite and low-income populations live in closest proximity to Pennsylvania's most toxic sites and consequently bear the brunt of the negative externalities associated …
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Towards perceptual metrics for audio quality assessment
… the behavior of popularly used embedding distance measures and the embeddings that are used and, 3. Designing metrics that can measure the difference in audio quality between two signals, given that one of them is a reference signal. Thus, the proposed work will focus on developing …
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Balancing utility and privacy of high-dimensional datasets : mobile phone metadata
… showed ordinal equivalence among unicity measures and information distance measures EM-disclosure and KL-disclosure. Advantages of the proposed framework are highlighted, and future research avenues identified. We also investigate the tradeoff between data privacy and data usefulness …
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INTERPOLATION OF RIGID-BODY MOTION AND GALERKIN METHODS FOR FLEXIBLE MULTIBODY DYNAMICS
… are proposed based on minimization of eighted distance measures of rigid-body motions. Based on the proposed interpolation schemes, a unified continuous/discontinuous Galerkin solver is developed for the formulation of geometrically exact beams, for the determination of solutions of initial and …
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