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» A Framework for Multiple-Instance Learning
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OTM
2005
Springer
14 years 2 months ago
Taking Advantage of LOM Semantics for Supporting Lesson Authoring
Abstract. Learning Object Metadata (LOM) is an interoperable standard focused on enabling the reuse of learning material for authoring lessons. Nevertheless, few work was done on t...
Olivier Motelet, Nelson A. Baloian
TLT
2008
77views more  TLT 2008»
13 years 9 months ago
The Scalable Adapter Design Pattern: Enabling Interoperability Between Educational Software Tools
For many practical learning scenarios, the integrated use of more than one learning tool is educationally beneficial. In these cases, interoperability between learning tools--getti...
Andreas Harrer, Niels Pinkwart, Bruce M. McLaren, ...
ICCV
2003
IEEE
14 years 11 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
WWW
2009
ACM
14 years 4 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
ECOOPW
1999
Springer
14 years 1 months ago
Deriving Object-Oriented Frameworks from Domain Knowledge
Although a considerable number of successful frameworks have been developed during the last decade, designing a high-quality framework is still a difficult task. Generally, it is ...
Mehmet Aksit