We report on the implementation and performance evaluation of greedy parsing with lookaheads for dynamic dictionary compression. Speci cally, we consider the greedy parsing with a single step lookahead which we call Flexible Parsing (FP) as an alternative to the commonly used greedy parsing (with no-lookaheads) scheme. Greedy parsing is the basis of most popular compression programs including unix compress and gzip, however it does not necessarily achieve optimality with regard to the dictionary construction scheme in use. Flexible parsing, however, is optimal, i.e., partitions any given input to the smallest number of phrases possible, for dictionary construction schemes which satisfy the pre x property throughout their execution. There is...
We present a dictionary based lossless text compression scheme where we keep frequent words in separ...
The greedy approach to dictionary-based static text compression can be executed by a finite-state ma...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
We report on the performance evaluation of greedy parsing with a single step lookahead, denoted as f...
This paper considers the following question: once a (dynamic) dictionary construction scheme is sele...
Linear-time optimal parsing algorithms are rare in the dictionary-based branch of the data compressi...
International audienceLinear time optimal parsing algorithms are very rare in the dictionary based b...
AbstractLinear-time optimal parsing algorithms are rare in the dictionary-based branch of the data c...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
AbstractÐThe data compression based on dictionary techniques works by replacing phrases in the input...
Dictionary code compression is a technique where long instructions in the memory are replaced with s...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Dictionary-based compression schemes are the most commonly used data compression schemes since they ...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
We present a dictionary based lossless text compression scheme where we keep frequent words in separ...
The greedy approach to dictionary-based static text compression can be executed by a finite-state ma...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
We report on the performance evaluation of greedy parsing with a single step lookahead, denoted as f...
This paper considers the following question: once a (dynamic) dictionary construction scheme is sele...
Linear-time optimal parsing algorithms are rare in the dictionary-based branch of the data compressi...
International audienceLinear time optimal parsing algorithms are very rare in the dictionary based b...
AbstractLinear-time optimal parsing algorithms are rare in the dictionary-based branch of the data c...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
AbstractÐThe data compression based on dictionary techniques works by replacing phrases in the input...
Dictionary code compression is a technique where long instructions in the memory are replaced with s...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Dictionary-based compression schemes are the most commonly used data compression schemes since they ...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
We present a dictionary based lossless text compression scheme where we keep frequent words in separ...
The greedy approach to dictionary-based static text compression can be executed by a finite-state ma...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...