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CORR
2008
Springer
234views Education» more  CORR 2008»
15 years 2 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
128
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CG
2004
Springer
15 years 2 months ago
Compression of 3D triangular meshes with progressive precision
In this paper we introduce a novel approach for progressive transmission of three-dimensional (3D) triangular meshes. This algorithm is based on a new reversing approach of the ir...
Sébastien Valette, Alexandre Gouaillard, R&...
DCC
2002
IEEE
16 years 2 months ago
On-Line Adaptation in Image Coding with a 2-D Tarp Filter
On-line adaptation to nonstationary distributions is essential to good performance in image coding. Fixed-size contexts (with adaptive tables) are also widely used, in conjunction...
Patrice Simard, David Steinkraus, Henrique S. Malv...
ISMB
1993
15 years 3 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic
STACS
2009
Springer
15 years 9 months ago
Compressed Representations of Permutations, and Applications
We explore various techniques to compress a permutation π over n integers, taking advantage of ordered subsequences in π, while supporting its application π(i) and the applicat...
Jérémy Barbay, Gonzalo Navarro