Applying binary partitioning to weighted finite automata for image compression

Proceedings - International Conference on Image Processing, ICIP

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Main Authors: Kai, Y., Hwee, O.G.
Other Authors: COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2013
Online Access:http://scholarbank.nus.edu.sg/handle/10635/41842
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-418422015-02-14T20:53:44Z Applying binary partitioning to weighted finite automata for image compression Kai, Y. Hwee, O.G. COMPUTER SCIENCE Proceedings - International Conference on Image Processing, ICIP 5 1061-1064 2013-07-04T08:37:08Z 2013-07-04T08:37:08Z 2004 Conference Paper Kai, Y.,Hwee, O.G. (2004). Applying binary partitioning to weighted finite automata for image compression. Proceedings - International Conference on Image Processing, ICIP 5 : 1061-1064. ScholarBank@NUS Repository. 15224880 http://scholarbank.nus.edu.sg/handle/10635/41842 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description Proceedings - International Conference on Image Processing, ICIP
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Kai, Y.
Hwee, O.G.
format Conference or Workshop Item
author Kai, Y.
Hwee, O.G.
spellingShingle Kai, Y.
Hwee, O.G.
Applying binary partitioning to weighted finite automata for image compression
author_sort Kai, Y.
title Applying binary partitioning to weighted finite automata for image compression
title_short Applying binary partitioning to weighted finite automata for image compression
title_full Applying binary partitioning to weighted finite automata for image compression
title_fullStr Applying binary partitioning to weighted finite automata for image compression
title_full_unstemmed Applying binary partitioning to weighted finite automata for image compression
title_sort applying binary partitioning to weighted finite automata for image compression
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/41842
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