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» Learning Classifiers from Semantically Heterogeneous Data
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CISIS
2009
IEEE
14 years 3 months ago
SAMOA - A Semi-Automated Ontology Alignment Method for Systems Integration in Safety-Critical Environments
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
CVPR
2009
IEEE
15 years 4 months ago
Coupled Spectral Regression for Matching Heterogeneous Faces
Face recognition algorithms need to deal with variable lighting conditions. Near infrared (NIR) image based face recognition technology has been proposed to effectively overcome...
Stan Z. Li, Zhen Lei
ICPR
2002
IEEE
14 years 10 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
ESWS
2006
Springer
14 years 18 days ago
An Infrastructure for Acquiring High Quality Semantic Metadata
Because metadata that underlies semantic web applications is gathered from distributed and heterogeneous data sources, it is important to ensure its quality (i.e., reduce duplicate...
Yuangui Lei, Marta Sabou, Vanessa Lopez, Jianhan Z...
PRICAI
2000
Springer
14 years 15 days ago
Extracting Logical Schema from the Web
One of the main limitations when accessing the web is the lack of explicit structure, whose presence may help in understanding data semantics. Schema for web data can be constructe...
Vincenza Carchiolo, Alessandro Longheu, Michele Ma...