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» Robustness of Classifiers to Changing Environments
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RTAS
2011
IEEE
13 years 24 days ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
ECCV
2004
Springer
14 years 11 months ago
On the Significance of Real-World Conditions for Material Classification
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D st...
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof...
SASN
2005
ACM
14 years 2 months ago
Key distribution and update for secure inter-group multicast communication
Group communication has become an important component in wireless networks. In this paper, we focus on the environments in which multiple groups coexist in the system, and both in...
Weichao Wang, Bharat K. Bhargava
IPSN
2010
Springer
14 years 1 months ago
Practical modeling and prediction of radio coverage of indoor sensor networks
The robust operation of many sensor network applications depends on deploying relays to ensure wireless coverage. Radio mapping aims to predict network coverage based on a small n...
Octav Chipara, Gregory Hackmann, Chenyang Lu, Will...
ATAL
2005
Springer
14 years 2 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...