This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive appr...
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of s...
Abstract. This paper reconsiders the established Merkle-Damg˚ard design principle for iterated hash functions. The internal state size w of an iterated n-bit hash function is trea...
The JBIG2standard supports lossless and lossy coding models for text, halftone, and generic regions in bi-level images. For the JBIG2 lossy halftone compression mode, halftones ar...
Magesh Valliappan, Brian L. Evans, Dave A. D. Tomp...