Indranil R. Bardhan, Sugato Bagchi, et al.
JMIS
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
Indranil R. Bardhan, Sugato Bagchi, et al.
JMIS
Gabriele Dominici, Pietro Barbiero, et al.
ICLR 2025
Beomseok Nam, Henrique Andrade, et al.
ACM/IEEE SC 2006
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003