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» Scale in Object and Process Ontologies
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IVC
2008
182views more  IVC 2008»
15 years 11 days 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
90
Voted
CAISE
2005
Springer
15 years 6 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
16 years 2 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
16 years 28 days 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
124
Voted
CVPR
2011
IEEE
14 years 9 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...