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» The Dark Side of Object Learning: Learning Objects
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IROS
2009
IEEE
205views Robotics» more  IROS 2009»
14 years 2 months ago
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
Abstract— We report on our experiences regarding the acquisition of hybrid Semantic 3D Object Maps for indoor household environments, in particular kitchens, out of sensed 3D poi...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICPR
2008
IEEE
14 years 2 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
ETS
2006
IEEE
114views Hardware» more  ETS 2006»
13 years 7 months ago
From Research Resources to Learning Objects: Process Model and Virtualization Experiences
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...
José Luis Sierra, Alfredo Fernández-...
NN
2002
Springer
114views Neural Networks» more  NN 2002»
13 years 7 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
ICIP
2009
IEEE
13 years 5 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu