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» A Practical Method for the Sparse Resultant
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CCIW
2011
Springer
14 years 1 months ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato
FIMH
2007
Springer
15 years 1 months ago
Constrained Reconstruction of Sparse Cardiac MR DTI Data
Magnetic resonance diffusion tensor imaging (DTI) has emerged as a convenient and reliable alternative to conventional histology for characterizing the fiber structure of the myoca...
Ganesh Adluru, Edward Hsu, Edward V. R. Di Bella
ICIP
2010
IEEE
14 years 7 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
AAAI
2008
15 years 6 days ago
Abduction with Bounded Treewidth: From Theoretical Tractability to Practically Efficient Computation
Abductive diagnosis is an important method to identify explanations for a given set of observations. Unfortunately, most of the algorithmic problems in this area are intractable. ...
Georg Gottlob, Reinhard Pichler, Fang Wei
JMLR
2010
157views more  JMLR 2010»
14 years 4 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell