Results 141 to 150 of about 37,020 (188)
b-move: faster lossless approximate pattern matching in a run-length compressed index. [PDF]
Depuydt L +5 more
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Formal verification of bioinformatics software using model checking and theorem proving. [PDF]
Weerasena H +3 more
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A multi-dimensional DNS domain intelligence dataset for cybersecurity research. [PDF]
Hranický R +6 more
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PLA-index: A <i>k</i>-mer Index Exploiting Rank Curve Linearity. [PDF]
Abrar H, Medvedev P.
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Role of atomic force microscopy in characterization of heterotypic cancer spheroids and their interaction with microplastic particles. [PDF]
Kolesnik T +4 more
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PS3N: leveraging protein sequence-structure similarity for novel drug-drug interaction discovery. [PDF]
Islam S +5 more
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Dataset of Uzbek verbs with formation and suffixes. [PDF]
Sharipov M, Vičič J.
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2003
We introduce quasi suffix arrays as a generalization of suffix arrays for character strings. We show that a quasi suffix array encodes enough of the structure of the string to be a useful construct for many applications where the full power of suffix arrays is not necessary, notably in problems that do not require lexicographical order, for example ...
Franěk, František +3 more
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We introduce quasi suffix arrays as a generalization of suffix arrays for character strings. We show that a quasi suffix array encodes enough of the structure of the string to be a useful construct for many applications where the full power of suffix arrays is not necessary, notably in problems that do not require lexicographical order, for example ...
Franěk, František +3 more
openaire +2 more sources
Dynamic Generalized Suffix Arrays
Applied Mechanics and Materials, 2012Document retrieval is the basic task of search engines, and seize amount of attention by the pattern matching community. In this paper, we focused on the dynamic version of this problem, in which the text insertion and deletion is allowable. By using the generalized suffix array and other data structure, we proposed a new index structure.
Song Feng Lu, Hua Zhao
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Data Compression Conference (dcc 2008), 2008
DCA (Data Compression using Antidictionaries) is a novel lossless data compression method working on bit streams presented by Crochemore et al. DCA takes advantage of words that do not occur as factors in the text, i.e. that are forbidden. Due to these forbidden words (antiwords), some symbols in the text can be predicted.
Martin Fiala, Jan Holub
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DCA (Data Compression using Antidictionaries) is a novel lossless data compression method working on bit streams presented by Crochemore et al. DCA takes advantage of words that do not occur as factors in the text, i.e. that are forbidden. Due to these forbidden words (antiwords), some symbols in the text can be predicted.
Martin Fiala, Jan Holub
openaire +1 more source

