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SAC
2008
ACM
13 years 8 months ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
SAC
2005
ACM
14 years 2 months ago
Reflective middleware for wireless sensor networks
Wireless Sensor Networks (WSNs) are distributed systems whose main goal is to collect and deliver data to applications. This paper proposes a reflective, service-oriented middlewa...
Flávia Coimbra Delicato, Paulo F. Pires, Lu...
JPDC
2007
209views more  JPDC 2007»
13 years 8 months ago
Application-aware integration of data collection and power management in wireless sensor networks
Sensors are typically deployed to gather data about the physical world and its artifacts for a variety of purposes that range from environment monitoring, control, to data analysi...
Qi Han, Sharad Mehrotra, Nalini Venkatasubramanian
ICASSP
2009
IEEE
14 years 3 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
IJNSEC
2011
272views more  IJNSEC 2011»
13 years 3 months ago
Trust Key Management Scheme for Wireless Body Area Networks
With recent advances in wireless sensor networks and embedded computing technologies, miniaturized pervasive health monitoring devices have become practically feasible. In additio...
Mohammed Mana, Mohammed Feham, Boucif Amar Bensabe...