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» Efficient Sensor Selection for Active Information Fusion
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PRL
2006
101views more  PRL 2006»
13 years 9 months ago
Regulation probability method for gene selection
This paper proposes a novel method for gene selection. In the method, the gene regulation, an important mechanism of gene activities, is first introduced, and then the probabiliti...
Hong-Qiang Wang, De-Shuang Huang
CVPR
1999
IEEE
14 years 11 months ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
RAS
2000
161views more  RAS 2000»
13 years 8 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz
MOBISYS
2009
ACM
14 years 9 months ago
A framework of energy efficient mobile sensing for automatic user state recognition
Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based se...
Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacob...
CIKM
2010
Springer
13 years 7 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang