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Bruno Carpentieri and Francesco Palmieri
The vast majority of compressed digital data that flows nowadays on modern high-speed networks is directly related to human activity. It describes what we do, what we see and photograph, where we go, whom we meet, and specifically every moment of our liv...
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Jeffery T. H. Kong, Filbert H. Juwono, Ik Ying Ngu, I. Gde Dharma Nugraha, Yan Maraden and W. K. Wong
Social media has evolved into a platform for the dissemination of information, including fake news. There is a lot of false information about the current situation of the Coronavirus Disease 2019 (COVID-19) pandemic, such as false information regarding v...
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Urmila Pilania, Rohit Tanwar, Mazdak Zamani and Azizah Abdul Manaf
In today?s world of computers everyone is communicating their personal information through the web. So, the security of personal information is the main concern from the research point of view. Steganography can be used for the security purpose of person...
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Mourad Mars
With the recent advances in deep learning, different approaches to improving pre-trained language models (PLMs) have been proposed. PLMs have advanced state-of-the-art (SOTA) performance on various natural language processing (NLP) tasks such as machine ...
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Nicola Prezza
Text indexing is a classical algorithmic problem that has been studied for over four decades: given a text T, pre-process it off-line so that, later, we can quickly count and locate the occurrences of any string (the query pattern) in T in time proportio...
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Dominik Köppl, Tomohiro I, Isamu Furuya, Yoshimasa Takabatake, Kensuke Sakai and Keisuke Goto
Re-Pairis a grammar compression scheme with favorably good compression rates. The computation of Re-Pair comes with the cost of maintaining large frequency tables, which makes it hard to compute Re-Pair on large-scale data sets. As a solution for this pr...
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Wayit Abliz, Hao Wu, Maihemuti Maimaiti, Jiamila Wushouer, Kahaerjiang Abiderexiti, Tuergen Yibulayin and Aishan Wumaier
To improve utilization of text storage resources and efficiency of data transmission, we proposed two syllable-based Uyghur text compression coding schemes. First, according to the statistics of syllable coverage of the corpus text, we constructed a 12-b...
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Marcin Lawnik, Artur Pelka and Adrian Kapczynski
In the era of ubiquitous digitization, the Internet of Things (IoT), information plays a vital role. All types of data are collected, and some of this data are stored as text files. An important aspect?regardless of the type of data?is related to file st...
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Isamu Furuya, Takuya Takagi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai and Takuya Kida
This study presents an analysis of RePair, which is a grammar compression algorithm known for its simple scheme, while also being practically effective. First, we show that the main process of RePair, that is, the step by step substitution of the most fr...
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Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
Recently, demand for handwriting recognition, such as automation of mail sorting, license plate recognition, and electronic memo pads, has exponentially increased in various industrial fields. In addition, in the image recognition field, methods using ar...
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