A current challenge in scientific computing is how to curb the growth of simulation datasets without losing valuable information. While wavelet based methods are popular, they req...
This paper considers online compression algorithms that use at most polylogarithmic space (plogon). These algorithms correspond to compressors in the data stream model. We study th...
Abstract. Data cache compression is actively studied as a venue to make better use of onchip transistors, increase apparent capacity of caches, and hide the long memory latencies. ...
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
Patrice Y. Simard, Christopher J. C. Burges, David...
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...