We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to per...
In this paper we study the effectiveness of applying sentence compression on an extraction based multi-document summarization system. Our results show that pure syntactic-based co...
The compression of binary texts using antidictionaries is a novel technique based on the fact that some substrings (called “antifactors”) never appear in the text. Let × be a...
Real datasets are often large enough to necessitate data compression. Traditional `syntactic' data compression methods treat the table as a large byte string and operate at t...
H. V. Jagadish, Raymond T. Ng, Beng Chin Ooi, Anth...
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...