Yao Qi, Raja Das, et al.
ISSTA 2009
A universal data compression algorithm is described which is capable of compressing long strings generated by a “finitely generated” source, with a near optimum per symbol length without prior knowledge of the source. This class of sources may be viewed as a generalization of Markov sources to random fields. Moreover, the algorithm does not require a working storage much larger than that needed to describe the source generating parameters. © 1983 IEEE
Yao Qi, Raja Das, et al.
ISSTA 2009
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
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SPIE AeroSense 1997