Conference paper
Low-Resource Speech Recognition of 500-Word Vocabularies
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001
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
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001
William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
Alfonso P. Cardenas, Larry F. Bowman, et al.
ACM Annual Conference 1975
Anupam Gupta, Viswanath Nagarajan, et al.
Operations Research