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» Extracting general-purpose features from LIDAR data
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EMNLP
2010
13 years 7 months ago
The Necessity of Combining Adaptation Methods
Problems stemming from domain adaptation continue to plague the statistical natural language processing community. There has been continuing work trying to find general purpose al...
Ming-Wei Chang, Michael Connor, Dan Roth
ISCI
2008
188views more  ISCI 2008»
13 years 9 months ago
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface
In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classifi...
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
BMCBI
2010
133views more  BMCBI 2010»
13 years 9 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 11 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
TLDI
2009
ACM
142views Formal Methods» more  TLDI 2009»
14 years 6 months ago
Static extraction of sound hierarchical runtime object graphs
For many object-oriented systems, it is often useful to have a runtime architecture that shows networks of communicating objects. But it is hard to statically extract runtime obje...
Marwan Abi-Antoun, Jonathan Aldrich