A Compact Tree Representation of an Antidictionary
Author:
Affiliation:
1. Dept. of Computer & Systems Engineering, Nagano Prefectural Institute of Technology
2. Dept. of Computer and Network Engineering, Graduate School of Informatics and Engineering, The University of Electro-Communications
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E100.A/9/E100.A_1973/_pdf
Reference23 articles.
1. [1] M. Crochemore, F. Mignosi, A. Restivo, and S. Salemi, “Data compression using antidictionaries,” Proc. IEEE, vol.88, no.11, pp.1756-1768, Nov. 2000. 10.1109/5.892711
2. [2] M. Fiala and J. Holub, “Dca using suffix arrays,” Proc. Data Compression Conference 2008, p.516, March 2008. 10.1109/dcc.2008.95
3. [3] T. Ota and H. Morita, “On the adaptive antidictionary code using minimal forbidden words with constant lengths,” Proc. 2010 International Symposium on Information Theory and its Applications, pp.72-77, Oct. 2010. 10.1109/isita.2010.5649621
4. [4] M. Burrows and D.J. Wheeler, “A block-sorting lossless data compression algorithm,” SRC Research Report, pp.73-93, May 1994.
5. [5] T. Ota and H. Morita, “Asymptotic optimality of antidictionary codes,” Proc. 2010 IEEE International Symposium on Information Theory, pp.101-105, June 2010. 10.1109/isit.2010.5513281
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