@inproceedings{c187ae98e8d04b0fb3528bb43f6fd0ac,
title = "Neural Markovian predictive compression: An algorithm for online lossless data compression",
abstract = "This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel com-bination of Bayesian Neural Networks (BNNs) and Hidden Markov Models (HMM). The result is an interesting combination of properties: Linear processing time, constant memory storage performance and great adaptability to parallelism. Though not limited for such uses, when used for online compression (compressing streaming inputs without the latency of collecting blocks) it often produces superior results compared to other algorithms for this purpose. It is also a natural algorithm to be implemented on parallel platforms such as FPGA chips.",
author = "Erez Shermer and Mireille Avigal and Dana Shapira",
year = "2010",
doi = "10.1109/DCC.2010.26",
language = "אנגלית",
isbn = "9780769539942",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "209--218",
booktitle = "Proceedings - Data Compression Conference, DCC 2010",
address = "ארצות הברית",
note = "20th Data Compression Conference, DCC 2010 ; Conference date: 24-03-2010 Through 26-03-2010",
}