Normalized Levenshtein distance measure between groups
Research Article FrameDuplicationForgeryDetectionandLocalizationAlgorithm Based on the Improved Levenshtein Distance
... Levenshtein distance is adopted and used as a measure of similarities in this ...similarities between all the subsequences are measured to find out the potentially du- plicated frame ...
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MCMC for normalized random measure mixture models
... NS Marg Reuse (C = 15) 446.6 ± 4.9 3312 ± 154 1746.3 ± 10.7 95.9 ± 4.2 NS Marg Reuse (C = 20) 550.4 ± 3.5 3336 ± 109 1944.0 ± 14.7 114.5 ± 8.4 tions. We use co-clustering probabilities to summarize the clustering ...
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COMPARISON OF LEVENSHTEIN DISTANCE ALGORITHM AND NEEDLEMAN-WUNSCH DISTANCE ALGORITHM FOR STRING MATCHING KHIN MOE MYINT AUNG
... Levenshtein distance (LD) and Needleman-Wunsch distance are a measure of the similarity between two strings, the source string(s) and the target string ...(typos), Levenshtein ...
Evaluating the impact of information distortion on normalized compression distance
... of Normalized Compression Distance (NCD), which is based on the use of compressors to provide a measure of the similarity between the ...This distance may then be used to cluster those ...
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Improving English Russian sentence alignment through POS tagging and Damerau Levenshtein distance
... Damerau-Levenshtein distance between them is computed. This distance is then normalized by the length of the target sentence and is used as a threshold between supposedly ...
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Normalisation of Historical Text Using Context Sensitive Weighted Levenshtein Distance and Compound Splitting
... Edit Distance Restrictions As presented in the previous section, normalisation results are influenced by what string length differences we accept for a normalisation candidate to be considered ...edit ...
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A Measure of Aggregate Syntactic Distance
... evenly between the sub-corpora, a disproportion- ately larger number of n-grams would be found in the sub-corpus corresponding to the base corpus with shorter ...now normalized so that that effect will no ...
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Comparing distributions using dependent normalized random measure mixtures
... differences between distributions associated with different groups of ...from Normalized Random Measures with Independent ...strength between distributions without assuming exchangeability, ...
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A Method to Measure and Estimate Normalized Contrast in Infrared Flash Thermography
... the distance between the pixels and provides the pixel ...and normalized contrast. The definition of Thermofit Pro normalized contrast is different than used in this ...define ...
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Comparing distributions by using dependent normalized random measure mixtures
... process; Normalized generalized gamma process; Slice sampling; Utility function ...different groups and the comparison of their ...differences between means for different groups and links ...
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Normalized Google Distance for Collocation Extraction from Islamic Domain
... alternations between the letters “ha’a” and “Ta’a marbutah”), inflectional variants (the number inflection of nouns, the number and gender inflections of adjectives, and the definite article “ﻝﺍ”), morphosyntactic ...
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Structural Off-line Handwriting Character Recognition Using Approximate Subgraph Matching and Levenshtein Distance
... This paper proposed two methods of structural based offline handwriting character recognition that using graph to represent the character structure, and curves as the graph elements. The curves will be modeled as a ...
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Video Shot Boundary Detection Using Normalized Periodogram Distance Metric
... discontinuity between adjacent ...dissimilarity measure between the adjacent frames and predict the cut transition when the dissimilarity measure exceeds a ...discontinuity between ...
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Modelling the relationship between malaria prevalence as a measure of transmission and mortality across age groups
... Variables with a p-value below 0.1 were included in the final geostatistical models so as not leave out important variable whose effects would be missed when investi- gated alone, but become important if included in com- ...
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estimating the levenshtein distance from sequencing data
... Kai Song, Jie Ren, Gesine Reinert, Minghua Deng, Michael S.Waterman and Fengzhu Sun Submitted: 28th May 2013; Received (in revised form) : 25th July 2013 Abstract With the development of next-generation sequencing (NGS) ...
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Distance between QFTs as a measure of Lorentz violation
... The distance has some unpleasant features, such as dependencies on unphysical parameters, which can be eliminated either with a minimization, or fixing some ...the distance collects all the parameters of ...
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Linguistic Distance: A Quantitative Measure of the Distance Between English and Other Languages
... quantitative measure of the “distance” between English and a myriad of other (non-native American) ...This measure is based on the difficulty Americans have learning other ...linguistic ...
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Thread-cooperative, bit-parallel computation of Levenshtein distance on GPU
... Most of the bit-wise operations on Algorithm 1 are inher- ently parallel (and, or, xor, not ...) and are trivially converted to SIMD/warp instructions. The exceptions are the add and shift operations inside advance ...
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Pruned convolutional codes and Viterbi decoding with the Levenshtein distance metric
... The Levenshtein distance has previously been postulated to be a suitable branch comparison metric for the Viterbi algorithm on channels with not only substitution errors, but also insertion/deletion ...the ...
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Graphonological Levenshtein Edit Distance: Application for Automated Cognate Identification
... The task of creating parallel resources and dictionaries from comparable corpora is not exclusive to hybrid or rule-based MT. Similar ideas are used in SMT framework for enhancing SMT systems developed for ...
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