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 3670 for “"Similarity"”.
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Sketch similarity searching
Nowadays, a number of application fields, such as military, bio-medicine, education and the World Wide Web (WWW), use a large volume of image data. This necessity for better image searching techniques has instigated researchers to study new technologies that could be the pinnacle of next generation …
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Designing similarity functions
The concept of similarity is important in many areas of cognitive science, computer science, and statistics. In machine learning, functions that measure similarity between two instances form the core of instance-based classifiers. Past similarity measures have been primarily based on simple …
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Approximate Similarity Reduction
… The approximate homotopy symmetry and homotopy similarity reduction equations of different orders are derived and the corresponding homotopy series reduction solutionsare obtained. As a result, the formal coincidence for both methods is displayed.</p>
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Similarity between polygonal shapes
… review existing algorithms for measuring shape similarity between polygons. We present a new approach to measure similarity based on the notion of annular profile. We also present the implementation of three shape measuring algorithms: signature function, turning function, and annular profile. …
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Similarity in L2 Phonology
… speech perception often appeal to notions of similarity. But how is similarity best determined? In this dissertation I explored the predictions of two theoretical approaches to similarity comparison in the second language, and asked: [1] How should L2 sound similarity be measured? [2] What is …
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Perceptual texture similarity estimation
… features to estimate perceptual texture similarity. In the first part of this thesis, we conducted two evaluation experiments on the ability of 51 computational feature sets to estimate perceptual texture similarity using two differ-ent evaluation methods, namely, pair-of-pairs based and …
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Learning task-specific similarity
The right measure of similarity between examples is important in many areas of computer science. In particular it is a critical component in example-based learning methods. Similarity is commonly defined in terms of a conventional distance function, but such a definition does not necessarily …
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Building a similarity engine
… Using these theories, we are trying to build a Similarity Engine which provides machine learning based content search and classification of data.
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Similarity-based likelihood judgment
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1991.
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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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A functional model of similarity
… the prevalent conception of the nature of similarity is shown to be too narrow, and the argument is developed that models of similarity must encompass both analytic and synthetic components. Some general problems of measurement and the testing of psychological models are also …
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Similarity modeling for machine learning
Similarity is the extent to which two objects resemble each other. Modeling similarity is an important topic for both machine learning and computer vision. In this dissertation, we first propose a discriminative similarity learning method, then introduce two novel sparse similarity modeling methods …
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Perceptual similarity of closed contours
… in four experiments, using both ratings of similarity and accuracy of discrimination. The results indicate that in cases where the underlying Fourier dimensionality is low, the model is quite successful, as indicated by consistently high, significant correlations between the predicted and …
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Molecular Similarity and Xenobiotic Metabolism
MetaPrint2D, a new software tool implementing a data-mining approach for predicting sites of xenobiotic metabolism has been developed. The algorithm is based on a statistical analysis of the occurrences of atom centred circular fingerprints in both substrates and metabolites. This approach has …
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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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Similarity Detection Based on Semantic Distance
… semantic distance is used to measure the similarity between documents. Noun and verb word concepts are transformed into paths that represent their physical location within the WordNet hierarchy. Path prefixes are compared using three distinct algorithms-each investigates a particular type …
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Automated similarity detection: identifying duplicated requirements
… analysis to apply automated requirements similarity detection, using AI techniques, for the detection of duplicates between project requirements. Based on a literature review, this thesis must be a practical evaluation and a development proposal of duplicate detection in SE project …
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Coupled similarity analysis in supervised learning
In supervised learning, the distance or similarity measure is widely used in a lot of classification algorithms. When calculating the categorical data similarity, the strategy used by the traditional classifiers often overlooks the inter-relationship between different data attributes and assumes …
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