Similarity Measure
Semantic Similarity Measure Using Information Content Approach With Depth For Similarity Calculation
... relatedness measure for calculating semantic similarity between terms represent in WordNet ...of similarity calculation with numerous number of similarity measure, but we classify these ...
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Feature Values Analysis for Similarity Measure to Text Classification and Clustering
... The feature value can be term frequency (the number of occurrences of a term appearing in the document), relative term frequency (the ratio between the term frequency and the total number of occurrences of all the terms ...
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Evaluation of a Vector Space Similarity Measure in a Multilingual Framework
... textual similarity is very often used in Natural Language Processing applications designed for the exploration of large textual ...the similarity measure used by the search engine (Salton and McGill, ...
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Similarity measure for image resizing using SIFT feature
... bidirectional similarity measure (BDS) and its improved version are widely utilized for evaluating similarity between the origi- nal image and the retargeted ...the similarity magnitude by BDS ...
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Absolute joint moments: a novel image similarity measure
... a similarity measure to find the optimal alignment of two ...larity measure. Therefore, it is essential to use a suitable similarity measure for a given ...image similarity ...
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The Zhang and Fu's Similarity Measure on Intuitionistic Fuzzy Multi Sets
... novel Similarity measure for Iintuitionistic fuzzy multi sets (IFMS) based on Zhang and Fu’s measure, as Similarity Measure is an important topic in fuzzy set ...proposed measure ...
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A Cross-Lingual Similarity Measure for Detecting Biomedical Term Translations
... cross-lingual similarity measure for detecting most similar translation candidates for a biomedical term specified in one language (source) from anoth- er language ...cross-lingual similarity ...
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Fast search based on generalized similarity measure
... generalized similarity measure (GSM), a similar- ity measure expressed by a linear combination of the Mahalanobis distance and bilinear similarity, obtains good recognition accuracy for face ...
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A Novel Similarity Measure for Clustering Categorical Data Sets
... a similarity measure which is an extension to context based similarity [5], [8] where similarity between components is determined by checking the contexts in which they ...novel ...
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KLcpos3 a Language Similarity Measure for Delexicalized Parser Transfer
... Still, for target languages dissimilar to any source language, a better similarity measure will not help much, as even the oracle results are usu- ally poor. More fine-grained resource combination methods ...
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Implementation of Hierarchical Clustering with Multiviewpoint-Based Similarity Measure
... the similarity measure between the data in which the similarity can be ...based similarity measure for effective document ...based Similarity Measure perform quite ...
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A proposed query-sensitive similarity measure for information retrieval
... Using these QSSMs (Eqs. (2-4)), they performed several experiments to investigate the effectiveness of these measures using the N-Nearest Neighbor test [14]. In this test, for each relevant document of a specific query, ...
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Tanimoto Based Similarity Measure for Intrusion Detection System
... The Tanimoto based similarity measure schemes have been introduced in this work. It was observed that these schemes produced better results than other techniques. The best result obtained by Tanimoto scheme ...
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A Microblock Density-Based Similarity Measure for Graph Clustering
... new similarity measure based on microblock density, which computes the similarity between a pair of vertices by calculating the densities of their common adjacent ...This measure extends the ...
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A New Similarity Measure Based on Mean Measure of Divergence for Collaborative Filtering in Sparse Environment
... as similarity based Collaborative Filtering (CF) is one of the most popular and successful approaches to provide service ...of similarity based CF which greatly affect the performance of recommendation ...
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Similarity Measure for Security Policies in Service Provider Selection
... policy similarity by calculating the similarity score between two XACML ...the measure algorithm for numerical predicate and in- tegrates ontology ...the similarity score computed may have a ...
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333A NEW SIMILARITY MEASURE FOR TRAJECTORY DATA CLUSTERING
... many similarity measures to compare any two clusters with similar ...data similarity measure called symmetrical difference similarity measures is used to similarity between two ...data ...
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Enhancing the Performance of Image Retrieval through Similarity Measure
... When the input is given to the algorithm is very large for processing and it is redundant the input data. A reduced representation set of feature is obtained after transformation. Transforming the input data into the set ...
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Ranking of generalized fuzzy numbers using distance measure and similarity measure
... the similarity measure between them in the second class ranking is ...the similarity measure between generalized fuzzy numbers with zero, Then we rank them by ...
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TextFlow: A Text Similarity Measure based on Continuous Sequences
... text similarity motivated a lot of research in the last decades (Sahami and Heilman, 2006; Hatzivas- siloglou et ...standalone similarity measure that could be ap- plied (i) regardless of the ...
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