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LREC
2010
133views Education» more  LREC 2010»
15 years 8 months ago
Towards a Learning Approach for Abbreviation Detection and Resolution
The explosion of biomedical literature and with it the -uncontrolled- creation of abbreviations presents some special challenges for both human readers and computer applications. ...
Klaar Vanopstal, Bart Desmet, Véronique Hos...
LREC
2010
154views Education» more  LREC 2010»
15 years 8 months ago
Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins...
Bert Réveil, Jean-Pierre Martens, Henk van ...
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 7 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
TMC
2008
123views more  TMC 2008»
15 years 7 months ago
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
In wireless networks, a client's locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for ...
Jie Yin, Qiang Yang, Lionel M. Ni
CVPR
2009
IEEE
17 years 2 months ago
An Empirical Bayes Approach to Contextual Region Classification
This paper presents a nonparametric approach to labeling of local image regions that is inspired by recent developments in information-theoretic denoising. The chief novelty of ...
Svetlana Lazebnik (UNC Chapel Hill), Maxim Raginsk...