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ICASSP
2011
IEEE
13 years 14 days ago
Efficient image reconstruction under sparsity constraints with application to MRI and bioluminescence tomography
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
Matthieu Guerquin-Kern, Jean-Charles Baritaux, Mic...
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
14 years 2 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
GLOBECOM
2010
IEEE
13 years 6 months ago
Approximation Ratios of Multicast Light-Trees in WDM Networks
Abstract--All-optical multicast routing (AOMR) is implemented by the concept of light-tree in WDM networks. The costoptimal multicast light-tree is NP-hard to compute, especially w...
Fen Zhou, Miklós Molnár, Bernard Cou...
IJCNN
2008
IEEE
14 years 3 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
IDA
2009
Springer
14 years 3 months ago
Image Coding and Compression with Sparse 3D Discrete Cosine Transform
In this paper, an algorithm for image coding based on a sparse 3-dimensional Discrete Cosine Transform (3D DCT) is studied. The algorithm is essentially a method for achieving a su...
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zad...