This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
This paper presents Two-Phase Compressed I/O (TPC I/O,) an optimization of the Two-Phase collective I/O technique from ROMIO, the most popular MPI-IO implementation. In order to r...
Rosa Filgueira, David E. Singh, Juan Carlos Pichel...
Single-sensor imaging pipelines comprised of various image compression and demosaicking solutions are presented. Since the end-user usually inspects captured images available in t...
In this article, we present the AdOC (Adaptive Online Compression) library. It is a user-level set of functions that enables data transmission with compression. The compression is...