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Restricted Transposition Invariant Approximate String Matching Under Edit Distance
"... Abstract. Let A and B be strings with lengths m and n, respectively, over a finite integer alphabet. Two classic string mathing problems are computing the edit distance between A and B, and searching for approximate occurrences of A inside B. We consider the classic Levenshtein distance, but the dis ..."
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, and an O(mn log log m) algorithm for transposition invariant approximate string matching. In this paper we first propose a scheme to construct transposition invariant algorithms that depend on d or k. Then we proceed to give an O(n + d 3) algorithm for transposition invariant edit distance, and an O(k 2 n
Transposition invariant string matching
, 2003
"... Given strings A = a1a2...am and B = b1b2...bn over an alphabet Σ ⊆ U, whereU is some numerical universe closed under addition and subtraction, and a distance function d(A,B) that gives the score of the best (partial) matching of A and B, the transposition invariant distance is ..."
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Cited by 29 (8 self)
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Given strings A = a1a2...am and B = b1b2...bn over an alphabet Σ ⊆ U, whereU is some numerical universe closed under addition and subtraction, and a distance function d(A,B) that gives the score of the best (partial) matching of A and B, the transposition invariant distance is
Algorithms for Transposition Invariant String Matching (Extended Abstract)
 Journal of Algorithms
, 2002
"... Given strings A and B over an alphabet Σ ⊆ U, where U is some numerical universe closed... ..."
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Cited by 9 (6 self)
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Given strings A and B over an alphabet Σ ⊆ U, where U is some numerical universe closed...
Practical Algorithms for TranspositionInvariant StringMatching ⋆
"... We consider the problems of (1) longest common subsequence (LCS) of two given strings in the case where the first may be shifted by some constant (that is, transposed) to match the second, and (2) transpositioninvariant text searching using indel distance. These problems have applications in music ..."
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We consider the problems of (1) longest common subsequence (LCS) of two given strings in the case where the first may be shifted by some constant (that is, transposed) to match the second, and (2) transpositioninvariant text searching using indel distance. These problems have applications in music
Practical Algorithms for TranspositionInvariant StringMatching
"... We consider the problems of (1) longest common subsequence (LCS) of two given strings in the case where the first may be shifted by some constant (that is, transposed) to match the second, and (2) transpositioninvariant text searching using indel distance. These problems have applications in music ..."
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Cited by 11 (4 self)
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We consider the problems of (1) longest common subsequence (LCS) of two given strings in the case where the first may be shifted by some constant (that is, transposed) to match the second, and (2) transpositioninvariant text searching using indel distance. These problems have applications in music
Speeding up TranspositionInvariant String Matching
"... Finding the longest common subsequence (LCS) of two given sequences A = a0a1... am−1 and B = b0b1... bn−1 is an important and well studied problem. We consider its generalization, transpositioninvariant LCS (LCTS), which has recently arisen in the field of music information retrieval. In LCTS, we l ..."
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Cited by 2 (0 self)
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Finding the longest common subsequence (LCS) of two given sequences A = a0a1... am−1 and B = b0b1... bn−1 is an important and well studied problem. We consider its generalization, transpositioninvariant LCS (LCTS), which has recently arisen in the field of music information retrieval. In LCTS, we
Distributed String Matching With Translation Invariance
"... We consider the problem of distributed string matching. The task is to nd whether a pattern has occurrences that are distributed across parallel strings. Given a set S of h strings s s n ; i 2 f1; : : : ; hg for some constant h, a pattern p = p 1 pm has a distributed occurrence at posit ..."
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to search for certain kind of translation invariant distributed occurrences of the pattern. This invariance allows pitch level transpositions, thus called transposition invariance. We present a straightforward algorithm, called DirectCheck, solving the problems. It works in time O(nhm). Moreover, we
Transposition invariant words
"... www.elsevier.com/locate/tcs We define an operation called transposition on words of fixed length. This operation arises naturally when the letters of a word are considered as entries of a matrix. Words that are invariant with respect to transposition are of special interest. It turns out that transp ..."
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www.elsevier.com/locate/tcs We define an operation called transposition on words of fixed length. This operation arises naturally when the letters of a word are considered as entries of a matrix. Words that are invariant with respect to transposition are of special interest. It turns out
SHARING THE COMPONENTS OF TRANSPOSITIONINVARIANT DISTANCE, DIT, ON DITORGANIZED BURKHARDKELLER STRUCTURE IN SEARCHES FOR BEST MATCHING STRINGS
"... In this work various construction character/frequency information sharing structure approaches are proposed in order to optimize transposition_invariant distance evaluation, [SD87], that distance is used to construct a Burkhardkeller tree, [BK73] and [NK82], where is organized a dictionary of strin ..."
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In this work various construction character/frequency information sharing structure approaches are proposed in order to optimize transposition_invariant distance evaluation, [SD87], that distance is used to construct a Burkhardkeller tree, [BK73] and [NK82], where is organized a dictionary
Tries for Approximate String Matching
 IEEE Transactions on Knowledge and Data Engineering
, 1996
"... Tries offer text searches with costs which are independent of the size of the document being searched, and so are important for large documents requiring spelling checkers), case insensitivity, and limited approximate regular secondary storage. Approximate searches, in which the search pattern d ..."
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Cited by 34 (1 self)
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Tries offer text searches with costs which are independent of the size of the document being searched, and so are important for large documents requiring spelling checkers), case insensitivity, and limited approximate regular secondary storage. Approximate searches, in which the search pattern
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