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» Multi-sensor Data Fusion Using the Influence Model
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HICSS
2008
IEEE
396views Biometrics» more  HICSS 2008»
14 years 3 months ago
The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait
E-government initiatives are in their infancy in many developing countries. The success of these initiatives is dependent on government support as well as citizens’ adoption of ...
Suha AlAwadhi, Anne Morris
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...
DMSN
2004
ACM
14 years 14 days ago
Confidence-based data management for personal area sensor networks
The military is working on embedding sensors in a "smart uniform" that will monitor key biological parameters to determine the physiological status of a soldier. The sol...
Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mulle...
ICMCS
2007
IEEE
112views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Detecting Unsafe Driving Patterns using Discriminative Learning
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
Yue Zhou, Wei Xu, Huazhong Ning, Yihong Gong, Thom...
BMCBI
2011
13 years 3 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...