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» Learning from sensor network data
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ICC
2009
IEEE
133views Communications» more  ICC 2009»
15 years 4 months ago
Reducing Average Power in Wireless Sensor Networks through Data Rate Adaptation
—The use of variable data rate can reduce network latency and average power consumption, and automatic rate selection is critical for improving scalability and minimizing network...
Steven Lanzisera, Ankur Mehta, Kristofer S. J. Pis...
ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
BMVC
2000
14 years 11 months ago
Extraction of Motion Data from Image Sequences to Assist Animators
We describe a system which is designed to assist animators in extracting high-level information from sequences of images. The system is not meant to replace animators, but to be a...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...
JSS
2010
208views more  JSS 2010»
14 years 8 months ago
Performance analysis of opportunistic broadcast for delay-tolerant wireless sensor networks
This paper investigates a class of mobile wireless sensor networks that are unconnected most of the times; we refer to them as delay–tolerant wireless sensor networks (DTWSN). T...
Abbas Nayebi, Hamid Sarbazi-Azad, Gunnar Karlsson
IPSN
2010
Springer
15 years 4 months ago
Self-identifying sensor data
Public-use sensor datasets are a useful scientific resource with the unfortunate feature that their provenance is easily disconnected from their content. To address this we intro...
Stephen Chong, Christian Skalka, Jeffrey A. Vaugha...