most citedRestructuring Compressed Texts without Explicit Decompression

5 citations · 9 across the 6 of their papers we have counts for

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cs.DS20132 cited

Detecting regularities on grammar-compressed strings

Tomohiro I, Wataru Matsubara, Kouji Shimohira +5

We solve the problems of detecting and counting various forms of regularities in a string represented as a Straight Line Program (SLP). Given an SLP of size that represents a s…

cs.DS2013

Efficient Lyndon factorization of grammar compressed text

Tomohiro I, Yuto Nakashima, Shunsuke Inenaga +2

We present an algorithm for computing the Lyndon factorization of a string that is given in grammar compressed form, namely, a Straight Line Program (SLP). The algorithm runs in $O…

cs.DS20132 cited

Computing convolution on grammar-compressed text

Toshiya Tanaka, Tomohiro I, Shunsuke Inenaga +2

The convolution between a text string of length and a pattern string of length can be computed in time by FFT. It is known that various types of appro…

cs.DS2011

Computing q-gram Non-overlapping Frequencies on SLP Compressed Texts

Keisuke Goto, Hideo Bannai, Shunsuke Inenaga +1

Length- substrings, or -grams, can represent important characteristics of text data, and determining the frequencies of all -grams contained in the data is an important pr…

cs.DS2011

Computing q-gram Frequencies on Collage Systems

Keisuke Goto, Hideo Bannai, Shunsuke Inenaga +1

Collage systems are a general framework for representing outputs of various text compression algorithms. We consider the all -gram frequency problem on compressed string represe…

cs.DS20115 cited

Restructuring Compressed Texts without Explicit Decompression

Keisuke Goto, Shirou Maruyama, Shunsuke Inenaga +3

We consider the problem of {\em restructuring} compressed texts without explicit decompression. We present algorithms which allow conversions from compressed representations of a s…