Results 11 to 20 of about 148,669 (285)
Algorithms for anti-powers in strings [PDF]
Information Processing Letters, 2018 A string $S[1,n]$ is a power (or tandem repeat) of order $k$ and period $n/k$ if it can decomposed into $k$ consecutive equal-length blocks of letters. Powers and periods are fundamental to string processing, and algorithms for their efficient computation have wide application and are heavily studied. Recently, Fici et al. (Proc. ICALP 2016) defined an
Golnaz Badkobeh +2 more
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Faster algorithm of string comparison [PDF]
Pattern Analysis & Applications, 2003 In many applications, it is necessary to determine the string similarity. Edit distance[WF74] approach is a classic method to determine Field Similarity. A well known dynamic programming algorithm [GUS97] is used to calculate edit distance with the time complexity O(nm).
Qi Xiao Yang +4 more
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Combinatorial Algorithms for String Sanitization [PDF]
ACM Transactions on Knowledge Discovery from Data, 2020 String data are often disseminated to support applications such as location-based service provision or DNA sequence analysis. This dissemination, however, may expose sensitive patterns that model confidential knowledge (e.g., trips to mental health clinics from a string representing a user’s location history).
G. Bernardini +8 more
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Permuted Pattern Matching Algorithms on Multi-Track Strings
Algorithms, 2019 A multi-track string is a tuple of strings of the same length. Given the pattern and text of two multi-track strings, the permuted pattern matching problem is to find the occurrence positions of all permutations of the pattern in the text. In this paper,
Diptarama Hendrian +4 more
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String correction using the Damerau-Levenshtein distance
BMC Bioinformatics, 2019 Background In the string correction problem, we are to transform one string into another using a set of prescribed edit operations. In string correction using the Damerau-Levenshtein (DL) distance, the permissible edit operations are: substitution ...
Chunchun Zhao, Sartaj Sahni
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Toward Efficient Similarity Search under Edit Distance on Hybrid Architectures
Information, 2022 Edit distance is the most widely used method to quantify similarity between two strings. We investigate the problem of similarity search under edit distance.
Madiha Khalid +2 more
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Kendall tau sequence distance: Extending Kendall tau from ranks to sequences [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 An edit distance is a measure of the minimum cost sequence of edit operations to transform one structureinto another. Edit distance can be used as a measure of similarity as part of a pattern recognition system, withlower values of edit distance implying
Vincent Cicirello
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An efficient rank based approach for closest string and closest substring. [PDF]
PLoS ONE, 2012 This paper aims to present a new genetic approach that uses rank distance for solving two known NP-hard problems, and to compare rank distance with other distance measures for strings.
Liviu P Dinu, Radu Ionescu
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Higher-Order Quantum-Inspired Genetic Algorithms [PDF]
, 2014 This paper presents a theory and an empirical evaluation of Higher-Order Quantum-Inspired Genetic Algorithms. Fundamental notions of the theory have been introduced, and a novel Order-2 Quantum-Inspired Genetic Algorithm (QIGA2) has been presented ...
Kucharski, Jacek, Nowotniak, Robert
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Quantum Analog-Digital Conversion [PDF]
, 2019 Many quantum algorithms, such as Harrow-Hassidim-Lloyd (HHL) algorithm, depend on oracles that efficiently encode classical data into a quantum state. The encoding of the data can be categorized into two types; analog-encoding where the data are stored ...
Fujii, Keisuke +2 more
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