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DMSN
2007
ACM
15 years 10 months ago
Declarative temporal data models for sensor-driven query processing
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Yanif Ahmad, Ugur Çetintemel
ICML
1994
IEEE
15 years 10 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
TVLSI
1998
88views more  TVLSI 1998»
15 years 6 months ago
Time multiplexed color image processing based on a CNN with cell-state outputs
—A practical system approach for time-multiplexing cellular neural network (CNN) implementations suitable for processing large and complex images using small CNN arrays is presen...
Lei Wang, José Pineda de Gyvez, Edgar S&aac...
INFOCOM
2010
IEEE
15 years 4 months ago
SafeQ: Secure and Efficient Query Processing in Sensor Networks
The architecture of two-tiered sensor networks, where storage nodes serve as an intermediate tier between sensors and a sink for storing data and processing queries, has been widel...
Fei Chen, Alex X. Liu
PE
2010
Springer
123views Optimization» more  PE 2010»
15 years 1 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley