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» Inferring High-Level Behavior from Low-Level Sensors
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CVPR
2000
IEEE
14 years 7 months ago
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, T...
HUC
2004
Springer
13 years 10 months ago
Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services
We present an automated transportation routing system, called “Opportunity Knocks,” whose goal is to improve the efficiency, safety and independence of individuals with mild co...
Donald J. Patterson, Lin Liao, Krzysztof Gajos, Mi...
INFOCOM
2007
IEEE
13 years 11 months ago
Protecting Receiver-Location Privacy in Wireless Sensor Networks
—Due to the open nature of a sensor network, it is relatively easy for an adversary to eavesdrop and trace packet movement in the network in order to capture the receiver physica...
Ying Jian, Shigang Chen, Zhan Zhang, Liang Zhang
PERCOM
2004
ACM
14 years 4 months ago
Employing User Feedback for Fast, Accurate, Low-Maintenance Geolocationing
One way to improve inferences on sensor data is to tune the algorithms through a time-consuming offline procedure. A less expensive, and potentially more accurate method is to use...
Ezekiel S. Bhasker, Steven W. Brown, William G. Gr...
CORR
2010
Springer
170views Education» more  CORR 2010»
13 years 5 months ago
Sidelobe Control in Collaborative Beamforming via Node Selection
Collaborative beamforming (CB) is a power efficient method for data communications in wireless sensor networks (WSNs) which aims at increasing the transmission range in the network...
Mohammed F. A. Ahmed, Sergiy A. Vorobyov