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ICASSP
2011
IEEE
14 years 1 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
ISBI
2008
IEEE
15 years 11 months ago
Sparse representations for limited data tomography
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
Hstau Y. Liao, Guillermo Sapiro
88
Voted
AI
2006
Springer
15 years 1 months ago
Beyond the Bag of Words: A Text Representation for Sentence Selection
Sentence selection shares some but not all the characteristics of Automatic Text Categorization. Therefore some but not all the same techniques should be used. In this paper we stu...
Maria Fernanda Caropreso, Stan Matwin
96
Voted
WINET
2002
103views more  WINET 2002»
14 years 9 months ago
LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks
The complexity of the mobility tracking problem in a cellular environment has been characterized under an information-theoretic framework. Shannon's entropy measure is identif...
Amiya Bhattacharya, Sajal K. Das
105
Voted
ICML
2007
IEEE
15 years 11 months ago
Non-isometric manifold learning: analysis and an algorithm
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Piotr Dollár, Serge J. Belongie, Vincent Ra...