Sentence compression holds promise for many applications ranging from summarization to subtitle generation. Our work views sentence compression as an optimization problem and uses...
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
Inverted index compression, block addressing and sequential search on compressed text are three techniques that have been separately developed for e cient, low-overhead text retrie...
Gonzalo Navarro, Edleno Silva de Moura, Marden S. ...
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
In this paper we investigate the problem of partitioning an input string T in such a way that compressing individually its parts via a basecompressor C gets a compressed output th...