Dictionary-based modelling is the mechanism used in many practical compression schemes. For example, the members of the two Ziv-Lempel families parse the input message into a sequence of phrases selected from a dictionary, and obtain compression since a reference to the phrase can be more compact than the phrase itself
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
Abstract. Most modern lossless data compression techniques used today, are based in dictionaries. If...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
The best general-purpose compression schemes make their gains by estimating a probability distributi...
Due to increasing amount of stored and transferred data, there is a need of compression. For these p...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
AbstractA lossless dictionary-based data compression technique has been proposed in this paper which...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Word-based context models for text compression have the capacity to outperform more simple character...
This work concerns the search for text compressors that compress better than existing dictionary cod...
This paper considers the following question: once a (dynamic) dictionary construction scheme is sele...
Compression algorithms reduce the redundancy in data representation to decrease the storage required...
In this paper we consider a parsing algorithm originally introduced in [1] for estimating the infor...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
Abstract. Most modern lossless data compression techniques used today, are based in dictionaries. If...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
The best general-purpose compression schemes make their gains by estimating a probability distributi...
Due to increasing amount of stored and transferred data, there is a need of compression. For these p...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
AbstractA lossless dictionary-based data compression technique has been proposed in this paper which...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Word-based context models for text compression have the capacity to outperform more simple character...
This work concerns the search for text compressors that compress better than existing dictionary cod...
This paper considers the following question: once a (dynamic) dictionary construction scheme is sele...
Compression algorithms reduce the redundancy in data representation to decrease the storage required...
In this paper we consider a parsing algorithm originally introduced in [1] for estimating the infor...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
Abstract. Most modern lossless data compression techniques used today, are based in dictionaries. If...
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