Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. ...
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Indirect branches have become increasingly common in modular programs written in modern object-oriented languages and virtualmachine based runtime systems. Unfortunately, the pred...
In this paper, we propose a practical approach to minimizing embedding impact in steganography based on syndrome coding and trellis-coded quantization and contrast its performance...
Dynamic software updates can be used to fix bugs or add features to a running program without downtime. Essential for some applications and convenient for others, low-level dynami...
Gareth Stoyle, Michael W. Hicks, Gavin M. Bierman,...