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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
A Guided Tour to Approximate String Matching
 ACM COMPUTING SURVEYS
, 1999
"... We survey the current techniques to cope with the problem of string matching allowing errors. This is becoming a more and more relevant issue for many fast growing areas such as information retrieval and computational biology. We focus on online searching and mostly on edit distance, explaining t ..."
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Cited by 597 (36 self)
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We survey the current techniques to cope with the problem of string matching allowing errors. This is becoming a more and more relevant issue for many fast growing areas such as information retrieval and computational biology. We focus on online searching and mostly on edit distance, explaining
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
SURF: Speeded Up Robust Features
 ECCV
"... Abstract. In this paper, we present a novel scale and rotationinvariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be comp ..."
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Cited by 895 (12 self)
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Abstract. In this paper, we present a novel scale and rotationinvariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can
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
Approximate string matching
 ACM Computing Surveys
, 1980
"... Approximate matching of strings is reviewed with the aim of surveying techniques suitable for finding an item in a database when there may be a spelling mistake or other error in the keyword. The methods found are classified as either equivalence or similarity problems. Equivalence problems are seen ..."
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Cited by 161 (0 self)
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Approximate matching of strings is reviewed with the aim of surveying techniques suitable for finding an item in a database when there may be a spelling mistake or other error in the keyword. The methods found are classified as either equivalence or similarity problems. Equivalence problems
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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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
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
Results 1  10
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378,632