Dynamic Markov compression (DMC) is a lossless data compression algorithm developed by Gordon Cormack and Nigel Horspool. It uses predictive arithmetic...

Andrey Markov, an influential Russian mathematician. Chebyshev–Markov–Stieltjes inequalities Dynamics of Markovian particles Dynamic Markov compression Gauss–Markov...

compression Context tree weighting Delta encoding: aid to compression of data in which sequential data occurs frequently Dynamic Markov compression:...

In probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability...

on digital media servers Discrete memoryless channel Dynamic Markov Compression algorithm Dynamic Mesh Communication, a mesh-based intercom system developed...

A partially observable Markov decision process (POMDP) is a generalization of a Markov decision process (MDP). A POMDP models an agent decision process...

creator of Apache Spark, Gordon Cormack, the co-creator of the Dynamic Markov compression algorithm, Ric Holt, co-creator of several programming languages...

model Dual-phase evolution Dunn index Dynamic Bayesian network Dynamic Markov compression Dynamic topic model Dynamic unobserved effects model EDLUT ELKI...

The Lempel–Ziv–Markov chain algorithm (LZMA) is an algorithm used to perform lossless data compression. It has been used in the 7z format of the 7-Zip...

coding, used by ZIP, gzip, and PNG images Lempel–Ziv–Markov chain algorithm (LZMA) – Very high compression ratio, used by 7zip and xz Lempel–Ziv–Storer–Szymanski...

Boyer–Moore string-search algorithm. Horspool is co-inventor of dynamic Markov compression and was associate editor and then editor-at-large of the journal...

demonstrated the compression ratio on such archives using Lempel–Ziv–Markov chain algorithm, bzip or other similar lossless compression algorithms can be...

Computer Science at the University of Waterloo and co-inventor of Dynamic Markov Compression. Cormack's research with Maura R. Grossman has been cited in cases...

compression occurs, resulting in a reversal of the initial excitation waveform being played at the initial source. T-symmetry Memorylessness Markov property...

computational burden when compared with other techniques such as dynamic time warping (DTW) and hidden Markov model (HMM). The main drawback when compared to DTW and...

English; the PPM compression algorithm can achieve a compression ratio of 1.5 bits per character in English text. If a compression scheme is lossless...

Time-Sharing System (CTSS), Multics Gordon Cormack – co-invented dynamic Markov compression Kit Cosper – open-source software Patrick Cousot – abstract interpretation...

interest and its action category (e.g., Segment-Tube). Techniques such as dynamic Markov Networks, CNN and LSTM are often employed to exploit the inter-frame...

genomics in particular, lossless compression, lossy compression, delay-constrained and complexity-constrained compression and communication, network information...

free energy principle, the statistical manifold in question possesses a Markov blanket. Kolmogorov complexity Minimum description length Solomonoff's theory...

digital photography, high-dynamic-range imaging (HDR imaging) Image compression — image file formats, multiview image compression, progressive image transmission...

compression technology was the discrete cosine transform (DCT), a lossy compression technique first proposed by Nasir Ahmed in 1972. DCT compression became...

of Texas at Dallas Gordon Cormack Professor Computer science Dynamic Markov Compression co-creator David G. Cory Professor Chemistry Canada Excellence...

finite-state Markov chains. A state is stochastically stable if it attracts positive weight in the stationary distribution of the Markov chain. Young...

environment is typically represented as a Markov decision process (MDP). Many reinforcement learning algorithms use dynamic programming techniques. Reinforcement...

designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint...

fundamental topics of information theory include source coding/data compression (e.g. for ZIP files), and channel coding/error detection and correction...

University, used in data compression since 2014 due to improved performance compared to previous methods. ANS combines the compression ratio of arithmetic...

almost all x {\displaystyle x} . It can be shown that for the output of Markov information sources, Kolmogorov complexity is related to the entropy of...

components. This vector corresponds to the stationary distribution of the Markov chain represented by the row-normalized adjacency matrix; however, the adjacency...