Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99603
Title: Text compression via alphabet re-representation
Authors: Long, Philip M. 
Natsev, Apostol I.
Vitter, Jeffrey Scott
Issue Date: 1997
Citation: Long, Philip M.,Natsev, Apostol I.,Vitter, Jeffrey Scott (1997). Text compression via alphabet re-representation. Data Compression Conference Proceedings : 161-170. ScholarBank@NUS Repository.
Abstract: We consider re-representing the alphabet so that a representation of a character reflects its properties as a predictor of future text. This enables us to use an estimator from a restricted class to map contexts to predictions of upcoming characters. We describe an algorithm that uses this idea in conjunction with neural networks. The performance of this implementation is compared to other compression methods, such as UNIX compress, gzip, PPMC, and an alternative neural network approach.
Source Title: Data Compression Conference Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/99603
ISSN: 10680314
Appears in Collections:Staff Publications

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