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Showing 1 to 20 of 84 for “"similarity measures"”.
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Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications.
… for the same attributes. New approaches of similarity have been presented in this research to support such data comparison. A generalisation of both geometric and set theoretical similarity models has enabled propose new similarity measures presented in this thesis, to handle the vagueness …
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Contributions for Handling Big Data Heterogeneity. Using Intuitionistic Fuzzy Set Theory and Similarity Measures for Classifying Heterogeneous Data
… The two techniques called Two-Dimensional Similarity Space(2DSS) for data described by numeric and categorical features, and Three-Dimensional Similarity Space(3DSS) for real-valued, crisp and linguistic data are proposed for filtering such data. Both filtering techniques are used in this …
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Rigid registration of MR and biplanar fluoroscopy
… 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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Bell inequalities in cardinality-based similarity measurement
… thesis a parametric family of cardinality-based similarity measures for ordinary sets (on a finite universe) harbouring numerous well-known similarity measures is introduced. The Lukasiewicz- and product-transitive members of this family are characterized. Their importance derives from the …
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Semantically-enhanced image tagging system
… to extend the existing Multimedia Query using similarity measures to cater for collaborative tagging. In addition, we discuss the semantic difficulties of tagging systems, suggesting improvements in their accuracies. The scope of our work is classified as follows: (i) Increase the accuracy and …
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Density-based clustering of information networks by substructure optimization
… can improve the result. We present a new set of similarity measures for weighted networks that allow the MSF to connect vertices that are not connected in the original network. We convert the MSF to a hierarchy and merge it bottom-up by optimizing an objective function to produce a flat …
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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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Graphical Models for Video Understanding
… to video retrieval and building of the similarity measures between the distributions.
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A developmental exploration of Chinese reading in a population of early readers: from eye movement control to textual coherence
… in Chinese reading; and (2) the use of semantic similarity measures based on distributed representations of words, sentences, and paragraphs to assess the impact of supra-lexical constraints on eye-movements in beginning readers of Chinese. The main results show that the most likely account of …
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Addressing the Interclass Similarity Challenges in Automated Face Recognition
… diverse facial features and established similarity measures to predict the accuracy. Second framework integrates an aggregate model, incorporating a custom object detector to identify facial parts. Informed by the first framework's analysis, this approach distinguishes between siblings …
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An integer programming clustering approach with application to recommendation systems
… minimal number of clusters subjected to several similarity measures. The proposed recommendation method is compared with collaborative filtering, and the experimental results show that it provides relatively high prediction accuracy as well as relatively small variance.</p>
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Clustering-Based Pre-Processing Approaches To Improve Similarity Join Techniques
<p>Research on similarity join techniques is becoming one of the growing practical areas for study, especially with the increasing E-availability of vast amounts of digital data from more and more source systems. This research is focused on pre-processing clustering-based techniques to improve …
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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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Representing meaning: a feature-based model of object and action words
… used to generate a model of lexical-semantic similarity, in which these different types of words are represented within a single system, under the assumption that lexical-semantic representations serve to provide an interface between conceptual knowledge derived in part from sensory-motor …
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Effective Features and Machine Learning Methods for Human Recognition Based on Multi-biometric Systems
… channel in HSV And HSL color spaces. Distance similarity measures have been compared for PCA- and LDA-based face, ear and palm biometrics. The face and ear recognition performance using SVM based on PCA and SVM based on a combination of PCA and LDA techniques have been compared with the PCA and …
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Clustering via matrix exponentiation
Given a set of n points with a matrix of pairwise similarity measures, one would like to partition the points into clusters so that similar points are together and different ones apart. We present an algorithm requiring only matrix exponentiation that performs well in practice and bears an elegant …
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An approximate search engine for structure
… XML processing, etc. Two types of similarity measures are investigated: (i) counting the mismatching paths in the query tree and a data tree, and (ii) measuring the topological relationship between the trees. The proposed approaches include storing the paths of trees in a suffix …
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Aggregation of student answers in a classroom setting
… answers are compared, via syntactic parsing and similarity measures, to each other and to instructor-provided example answers to form clusters, which represent student misconceptions. In tests, the aggregator module consistently created relevant clusters, very similar to those created by humans …
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Combinatorial optimization on embedded curves
… approximation algorithms to compute certain similarity measures for embedded curves on a surface. Finally, we present algorithms to solve computational problems for compactly presented curves. We describe the first algorithms to compute the shortest representative of a Z2-homology class. …
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