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 83 for “"Similarity measure"”.
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A Hybrid Similarity Measure Framework for Multimodal Medical Image Registration
… parts of the human body. MIR utilises a similarity measure (SM) to quantify the level of spatial alignment and is particularly demanding due to the presence of inherent modality characteristics like intensity non-uniformities (INU) in magnetic resonance images and large homogeneous …
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An Empirical Approach to Evaluating Sufficient Similarity: Utilization of Euclidean Distance As A Similarity Measure
… is by Feder et al. (2009), evaluating sufficient similarity in exposure to disinfection by-products of water purification using multivariate statistical techniques and traditional hypothesis testing. The work of Stork et al. (2008) introduced the idea of sufficient similarity in dose-response …
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Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems
… approach is introduced using clustering and similarity technologies. The proposed method using K-means clustering to partition the entire dataset reduces the time complexity and improves the online scalability as well as the data density. Moreover, the similarity comparison method predicts …
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Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion
… hard cluster analysis, derived from a novel similarity measure, is introduced. The main objective of the proposed method in the present study is to support financial investors in the portfolio diversification process by providing a less arbitrary approach to quantify similarity levels between …
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A Novel Approach for Continuous Speech Tracking and Dynamic Time Warping. Adaptive Framing Based Continuous Speech Similarity Measure and Dynamic Time Warping using Kalman Filter and Dynamic State Model
… framing based continuous speech tracking and similarity measurement approach is introduced in this work following a comprehensive research conducted in the diverse areas of speech processing. A dynamic state model is introduced based on system of linear motion equations which models the input …
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Effective and efficient similarity search in databases
… set of records in a database and a query record, similarity search aims to find all records sufficiently similar to the query record. To solve this problem, two main aspects need to be considered: First, to perform effective search, the set of relevant records is defined using a similarity …
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Graph similarity and matching
Measures of graph similarity have a broad array of applications, including comparing chemical structures, navigating complex networks like the World Wide Web, and more recently, analyzing different kinds of biological data. This thesis surveys several different notions of similarity, then focuses …
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Efficient Similarity Search in Structured Data
… for solving those problems are based on similarity search in databases. This makes efficient similarity search in large databases of structured objects an important basic operation for modern database applications. In this thesis we develop efficient methods for similarity search in large …
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Methods for multi-spectral image fusion: identifying stable and repeatable information across the visible and infrared spectra
… be a stable edge detector and repeatable spatial similarity measure for multi-spectral information; this result forms the basis for the methods developed in the subsequent chapters of this work. The feasibility of automatic alignment with sparse feature-correspondence methods is investigated. It …
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On Clustering Images of Objects
… are given in this thesis. Finding an effective similarity measure for both changes still remains as an open problem.
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Rigid registration of MR and biplanar fluoroscopy
… of the head, by means of an intensity-based, measure of similarity. We investigate a number of similarity measures which have been applied in other multimodal registration contexts, including that of CT-fluoroscopy registration. The similarity measures are evaluated by probing the space of …
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Registration of Tomographic Images to X-ray Projections for Use in Image Guided Interventions
… are compared to the fluoroscopy image using a similarity measure.<br/>The novelty of the work described in this thesis is in both the design of<br/>the registration algorithm and also in investigating the specific requirements placed upon a similarity measure when attempting to register a …
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Concept-based Text Clustering
… Clustering automates this by assessing the similarity between texts and organizing them accordingly, grouping like ones together and separating those with different topics. Clusters provide a comprehensive logical structure that facilitates exploration, search and interpretation of current …
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Analogy-based software project effort estimation. Contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
… based estimation depends on two major factors: similarity measure and attribute selection & weighting. Current similarity measures such as nearest neighborhood techniques have been criticized that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the …
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Analogy-based software project effort estimation. Contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
… based estimation depends on two major factors: similarity measure and attribute selection & weighting. Current similarity measures such as nearest neighborhood techniques have been criticized that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the …
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Machine Learning and its Application in Automatic Change Detection in Medical Images
… analysis, aiming to capture the structural similarity between scans in the context of change detection. We theoretically and numerically discuss the proper choices of norms used in the subspace approximation. The mathematical frameworks developed in this thesis consist of: (i) a new …
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Two-dimensional spatial frequency content and confusions among dot matrix characters
… to the two-dimensional spatial frequency similarity of these characters. During the first phase of the study, subjects were shown single alphanumeric characters from four different dot matrix fonts. In addition to the font variable, the size of the character was varied. All common matrix …
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Modeling mobility patterns
… candidates which are then aggregated by a similarity measure based on their BSSID and SSID features. The generated locations are processed to extract mobility patterns. A pattern is a sequence of location transitions which have high information content, high activity over time, and high …
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Conditional Visualisation for Statistical Models
… data which are near the section according to a similarity measure. Two ways of choosing sections are given |choosing sections interactively using data summary graphics, and choosing sections programmatically according to some criteria. The visualisations in this thesis necessitate interactive …
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Investigation of Intensity Correction in the Context of Image Registration
… intensity correction instead of using multimodal similarity measures. The algorithm utilises common Levenberg-Marquardt optimisation. The author has chosen two dimensional affine and one dimensional B-Spline model as spatial transformation, as well as intensity correction models specific to CT …
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