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ICASSP
2011
IEEE
14 years 3 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
WINET
2002
103views more  WINET 2002»
14 years 11 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
ANLP
1997
111views more  ANLP 1997»
15 years 1 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
73
Voted
CORR
2008
Springer
102views Education» more  CORR 2008»
14 years 11 months ago
How Is Meaning Grounded in Dictionary Definitions?
Meaning cannot be based on dictionary definitions all the way down: at some point the circularity of definitions must be broken in some way, by grounding the meanings of certain w...
Alexandre Blondin Massé, Guillaume Chicoisn...
82
Voted
ACL
2008
15 years 1 months ago
Blog Categorization Exploiting Domain Dictionary and Dynamically Estimated Domains of Unknown Words
This paper presents an approach to text categorization that i) uses no machine learning and ii) reacts on-the-fly to unknown words. These features are important for categorizing B...
Chikara Hashimoto, Sadao Kurohashi