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» Quantization of Sparse Representations
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ICIP
2008
IEEE
14 years 2 months ago
Atomic decomposition dedicated to AVC and spatial SVC prediction
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
Aurelie Martin, Jean-Jacques Fuchs, Christine Guil...
ISMIS
2005
Springer
14 years 1 months ago
Estimation of the Density of Datasets with Decision Diagrams
We address the problem of loading transactional datasets into main memory and estimating the density of such datasets. We propose BoolLoader, an algorithm dedicated to these tasks;...
Ansaf Salleb, Christel Vrain
ICASSP
2010
IEEE
13 years 8 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
IJON
2006
78views more  IJON 2006»
13 years 7 months ago
Improving self-organization of document collections by semantic mapping
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
Renato Fernandes Corrêa, Teresa Bernarda Lud...
TSP
2008
124views more  TSP 2008»
13 years 7 months ago
Dictionary Preconditioning for Greedy Algorithms
This article introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or (Orthogonal) Matching Pursuit which improves their...
Karin Schnass, Pierre Vandergheynst