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DCC
2010
IEEE
15 years 4 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
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...
Erez Shermer, Mireille Avigal, Dana Shapira
IEEECGIV
2009
IEEE
16 years 17 days ago
Two Dimensional Compressive Classifier for Sparse Images
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 ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
CLUSTER
2008
IEEE
16 years 11 days ago
Exploiting data compression in collective I/O techniques
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...
CCECE
2006
IEEE
15 years 12 months ago
Single-Sensor Image Compression from the End-User's Perspective
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...
Rastislav Lukac, Konstantinos N. Plataniotis
IPPS
2005
IEEE
15 years 11 months ago
Improving Middleware Performance with AdOC: An Adaptive Online Compression Library for Data Transfer
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...
Emmanuel Jeannot