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76
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WMTE
2006
IEEE
15 years 4 months ago
A Framework for Interoperability with VLEs for Large Scale Deployment of Mobile Learning
The diversity of mobile devices and their limitations have raised many challenges for the actual deployment of mobile learning across institutions. The main objective of this work...
Fatma Elsayed Meawad, Geneen Stubbs
104
Voted
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 4 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
117
Voted
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 4 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
90
Voted
IADIS
2004
15 years 9 days ago
Open-Ended Navigation Path Planning in Self-Directed Learning on the Web
The main topic addressed in this paper is how to help a learner plan a navigation path in self-directed learning on the Web. Our approach to this issue is to analyze the open-ende...
Shinobu Hasegawa, Akihiro Kashihara
85
Voted
JMLR
2006
131views more  JMLR 2006»
14 years 11 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...