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» On sparse signal representations
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ICASSP
2010
IEEE
15 years 6 months ago
Structured and incoherent parametric dictionary design
A new dictionary selection approach for sparse coding, called parametric dictionary design, has recently been introduced. The aim is to choose a dictionary from a class of admissi...
Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davie...
CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 4 months ago
Compressive Sensing over Graphs
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
Weiyu Xu, Enrique Mallada, Ao Tang
CISS
2011
IEEE
14 years 10 months ago
The Restricted Isometry Property for block diagonal matrices
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Ch...
ICIP
2009
IEEE
15 years 4 months ago
Adaptive mathematical morphology: A unified representation theory
In this paper, we present a general theory of adaptive mathematical morphology (AMM) in the Euclidean space. The proposed theory preserves the notion of a structuring element, whi...
Nidhal Bouaynaya, Dan Schonfeld
ISMIS
2005
Springer
16 years 2 days 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