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» Scale in Object and Process Ontologies
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IVC
2008
182views more  IVC 2008»
13 years 8 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
CAISE
2005
Springer
14 years 1 months ago
A Method for Ontology Modeling in the Business Domain
Today ontology languages present a syntax which looks not “natural” and are lacking of built-in primitives (i.e., modeling notions) domain experts are familiar with. In this pa...
Michele Missikoff, Federica Schiappelli
ECCV
2008
Springer
14 years 10 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
SPAA
2009
ACM
14 years 8 months ago
Speed scaling of processes with arbitrary speedup curves on a multiprocessor
We consider the setting of a multiprocessor where the speeds of the m processors can be individually scaled. Jobs arrive over time and have varying degrees of parallelizability. A...
Ho-Leung Chan, Jeff Edmonds, Kirk Pruhs
CVPR
2011
IEEE
13 years 5 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...