In this paper we consider a parsing algorithm originally introduced in [1] for estimating the information content of symbolic strings generated by various dynamical systems and biological data. Here we show how a suitable coding of the dictionary is sufficient to turn it into an optimal compressor
International audienceWe give a new text compression scheme based on Forbidden Words ("antidictionar...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
Abstract. We provide a general boosting technique for Textual Data Compression. Qualitatively, it ta...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
Linear-time optimal parsing algorithms are rare in the dictionary-based branch of the data compressi...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
This paper considers the following question: once a (dynamic) dictionary construction scheme is sele...
Linear time optimal parsing algorithms are very rare in the dictionary based branch of the data comp...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
AbstractLinear-time optimal parsing algorithms are rare in the dictionary-based branch of the data c...
International audienceIn this article, a new compression method is investigated using a particular c...
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 provide a general boosting technique for Textual Data Compression. Qualitatively, it takes a good...
This thesis covers different topics on design of image compression algorithms. The main focus in thi...
International audienceWe give a new text compression scheme based on Forbidden Words ("antidictionar...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
Abstract. We provide a general boosting technique for Textual Data Compression. Qualitatively, it ta...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
Linear-time optimal parsing algorithms are rare in the dictionary-based branch of the data compressi...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
This paper considers the following question: once a (dynamic) dictionary construction scheme is sele...
Linear time optimal parsing algorithms are very rare in the dictionary based branch of the data comp...
We introduce pseudo-prefix dictionaries, which allow an approximation scheme for optimal compression...
AbstractLinear-time optimal parsing algorithms are rare in the dictionary-based branch of the data c...
International audienceIn this article, a new compression method is investigated using a particular c...
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 provide a general boosting technique for Textual Data Compression. Qualitatively, it takes a good...
This thesis covers different topics on design of image compression algorithms. The main focus in thi...
International audienceWe give a new text compression scheme based on Forbidden Words ("antidictionar...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
Abstract. We provide a general boosting technique for Textual Data Compression. Qualitatively, it ta...