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IPSN
2004
Springer
15 years 4 months ago
A probabilistic approach to inference with limited information in sensor networks
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas
ICASSP
2010
IEEE
14 years 11 months ago
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
Richard E. Turner, Maneesh Sahani
ICASSP
2011
IEEE
14 years 2 months ago
MCMC inference of the shape and variability of time-response signals
Signals in response to time-localized events of a common phenomenon tend to exhibit a common shape, but with variable time scale, amplitude, and delay across trials in many domain...
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ale...
ICMI
2000
Springer
138views Biometrics» more  ICMI 2000»
15 years 2 months ago
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks
Inferring users' actions and intentions forms an integral part of design and development of any human-computer interface. The presence of noisy and at times ambiguous sensory ...
Vladimir Pavlovic, Ashutosh Garg, James M. Rehg
FSS
2008
108views more  FSS 2008»
14 years 11 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...