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» On Learning with Integral Operators
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WMTE
2002
IEEE
15 years 11 months ago
Applying Wireless Technologies to Build a Highly Interactive Learning Environment
This study tries to apply wireless technologies to build a highly interactive environment. For this purpose, this study first identifies four types of interaction between the memb...
Tzu-Chien Liu, Hsue-Yie Wang, Jen-Kai Liang, Tak-W...
CBMS
2008
IEEE
15 years 8 months ago
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
CVPR
2007
IEEE
16 years 8 months ago
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
ICALT
2006
IEEE
16 years 18 days ago
Plagiarism in e-Learning Systems: Identifying and Solving the Problem for Practical Assignments
A big part of life long learning is the move from residential lectures to distance education. Distance education falls under the multi-modal policy of the teaching institution and...
Emil Marais, Ursula Minnaar, David Argles
CVPR
2008
IEEE
15 years 6 months ago
Joint multi-label multi-instance learning for image classification
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong W...