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» Learning Classifiers from Semantically Heterogeneous Data
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ICML
2006
IEEE
14 years 8 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...
RAS
2008
123views more  RAS 2008»
13 years 7 months ago
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
Martin Persson, Tom Duckett, Achim J. Lilienthal
ATAL
2010
Springer
13 years 7 months ago
Inter-robot transfer learning for perceptual classification
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Zsolt Kira
DGO
2004
102views Education» more  DGO 2004»
13 years 9 months ago
A Web Query System for Heterogeneous Government Data
This paper describes a Web-based query system for semantically heterogeneous government-produced data. Geospatial Web-based information systems and portals are currently being dev...
Nancy Wiegand, Naijun Zhou, Isabel F. Cruz, Willia...
DGO
2003
129views Education» more  DGO 2003»
13 years 9 months ago
Extending XML Web Querying to Heterogeneous Geospatial Information
This paper describes a Web-based query system for semantically heterogeneous geospatial data. Our goal is to provide DBMS type query capabilities to a proposed statewide land info...
Nancy Wiegand, Naijun Zhou, Stephen J. Ventura, Is...