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» Hybrid System for Generating Learning Object Metadata
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AH
2006
Springer
13 years 10 months ago
Dynamic Content Discovery, Harvesting and Delivery, from Open Corpus Sources, for Adaptive Systems
Personalised elearning is being heralded as one of the grand challenges of next generation learning systems, in particular, its ability to support greater effectiveness, efficiency...
Séamus Lawless, Vincent Wade
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 2 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
DSMML
2004
Springer
14 years 1 months ago
Object Recognition via Local Patch Labelling
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Christopher M. Bishop, Ilkay Ulusoy
SCA
2007
13 years 11 months ago
Hybrid simulation of deformable solids
Although mesh-based methods are efficient for simulating simple hyperelasticity, maintaining and adapting a mesh-based representation is less appealing in more complex scenarios, ...
Eftychios Sifakis, Tamar Shinar, Geoffrey Irving, ...
DAGM
2005
Springer
14 years 2 months ago
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Christian Plagemann, Thomas Müller, Wolfram B...