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150
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ISWC
2006
IEEE
15 years 9 months ago
Discovering Characteristic Actions from On-Body Sensor Data
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
David Minnen, Thad Starner, Irfan A. Essa, Charles...
126
Voted
ICPR
2010
IEEE
15 years 9 months ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
124
Voted
IEICET
2007
127views more  IEICET 2007»
15 years 3 months ago
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Signi...
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, ...
116
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
129
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WSC
2000
15 years 5 months ago
Teaching simulation using case studies
We have developed and implemented a case-based approach for introducing discrete event simulation to undergraduate and graduate manufacturing engineering students. Students learn ...
Charles R. Standridge