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  • General compression algorithms were designed for usage characters as basic symbols. Later, algorithm which used words were developed. The problem is that there is no clear line which defines if is better to use characters or words. In this paper, we developed optimization algorithm based on simulated annealing that selects only several words from all possible words and combine them with character to improve overall compression. The achieved results are very promising.
  • General compression algorithms were designed for usage characters as basic symbols. Later, algorithm which used words were developed. The problem is that there is no clear line which defines if is better to use characters or words. In this paper, we developed optimization algorithm based on simulated annealing that selects only several words from all possible words and combine them with character to improve overall compression. The achieved results are very promising. (en)
Title
  • Improving compression using words
  • Improving compression using words (en)
skos:prefLabel
  • Improving compression using words
  • Improving compression using words (en)
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  • RIV/61989100:27240/12:86085006!RIV13-GA0-27240___
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http://linked.open...avai/riv/aktivita
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  • P(EE.2.3.20.0073), P(GPP202/11/P142), S
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  • 140947
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  • RIV/61989100:27240/12:86085006
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  • simulated annealing; LZW; data compression; Burrows Wheeler transformation; alphabet optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DD173D978136]
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  • Bukurešť
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  • New York
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  • Proceedings of the 2012 4th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2012
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  • Krömer, Pavel
  • Platoš, Jan
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number of pages
http://bibframe.org/vocab/doi
  • 10.1109/iNCoS.2012.103
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  • IEEE
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  • 978-0-7695-4808-1
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  • 27240
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