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» Modeling Classification and Inference Learning
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112
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ICALT
2006
IEEE
15 years 6 months ago
Automatic Generation of Metadata for Learning Objects
Proper reuse of learning objects depends both on the amount and quality of attached semantic metadata such as “learning objective”', “related concept”, etc. Manually ...
Paramjeet Singh Saini, Marco Ronchetti, Diego Sona
MVA
2006
205views Computer Vision» more  MVA 2006»
15 years 17 days ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
93
Voted
ICRA
2010
IEEE
125views Robotics» more  ICRA 2010»
14 years 11 months ago
Inferring the semantics of direction signs in public places
Abstract— Most large-scale public environments provide direction signs to facilitate the orientation for humans and to find their way to a goal location in the environment. Thus...
Jérôme Maye, Luciano Spinello, Rudolp...
107
Voted
ICDE
2011
IEEE
338views Database» more  ICDE 2011»
14 years 4 months ago
Outlier detection on uncertain data: Objects, instances, and inferences
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
Bin Jiang, Jian Pei
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
14 years 19 days ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...