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» Mapping Ontologies Elements using Features in a Latent Space
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CVPR
2008
IEEE
14 years 9 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ACSC
2003
IEEE
14 years 20 days ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
WWW
2002
ACM
14 years 8 months ago
Learning to map between ontologies on the semantic web
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated info...
AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon ...
ICCV
2007
IEEE
14 years 9 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
EATIS
2007
ACM
13 years 11 months ago
Ontology Based Affective Context Representation
In this paper we propose an ontology based representation of the affective states for context aware applications that allows expressing the complex relations that are among the af...
Kuderna-Iulian Benta, Anca Rarau, Marcel Cremene