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» Arguing from Experience to Classifying Noisy Data
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LREC
2010
133views Education» more  LREC 2010»
13 years 9 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
209views Education» more  LREC 2010»
13 years 9 months ago
Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment
In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent arc...
Jörg Tiedemann
TIP
2010
164views more  TIP 2010»
13 years 2 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
CASES
2006
ACM
13 years 11 months ago
High-performance packet classification algorithm for many-core and multithreaded network processor
Packet classification is crucial for the Internet to provide more value-added services and guaranteed quality of service. Besides hardware-based solutions, many software-based cla...
Duo Liu, Bei Hua, Xianghui Hu, Xinan Tang
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes