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KCAP
2011
ACM
12 years 10 months ago
Eliciting hierarchical structures from enumerative structures for ontology learning
Some discourse structures such as enumerative structures have typographical, punctuational and laying out characteristics which (1) make them easily identifiable and (2) convey hi...
Mouna Kamel, Bernard Rothenburger
NDSS
2008
IEEE
14 years 1 months ago
Automatic Protocol Format Reverse Engineering through Context-Aware Monitored Execution
Protocol reverse engineering has often been a manual process that is considered time-consuming, tedious and error-prone. To address this limitation, a number of solutions have rec...
Zhiqiang Lin, Xuxian Jiang, Dongyan Xu, Xiangyu Zh...
TMI
2010
172views more  TMI 2010»
13 years 5 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 13 days ago
Automatic Web Page Classification in a Dynamic and Hierarchical Way
Automatic classification of web pages is an effective way to deal with the difficulty of retrieving information from the Internet. Although there are many automatic classification...
Xiaogang Peng, Ben Choi
APVIS
2009
13 years 8 months ago
A self-adaptive treemap-based technique for visualizing hierarchical data in 3D
In this paper, we present a novel adaptive visualization technique where the constituting polygons dynamically change their geometry and other visual attributes depending on user ...
Abon Chaudhuri, Han-Wei Shen