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» A Framework for Multiple-Instance Learning
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DIMEA
2007
248views Multimedia» more  DIMEA 2007»
13 years 11 months ago
Adaptive digital game-based learning framework
A common teaching and learning methodology involves one that delivers knowledge to learners within a classroom environment. With the enhancement of information technology, Web-bas...
Phit-Huan Tan, Siew-Woei Ling, Choo-Yee Ting
ICML
2001
IEEE
14 years 8 months ago
General Loss Bounds for Universal Sequence Prediction
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
Marcus Hutter
IPMI
2007
Springer
14 years 8 months ago
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...
Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, J...
PR
2007
133views more  PR 2007»
13 years 7 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
TOMCCAP
2010
202views more  TOMCCAP 2010»
13 years 2 months ago
Audio-visual atoms for generic video concept classification
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Sh...
Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan...