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» Bayesian Parameter Estimation: A Monte Carlo Approach
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CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
14 years 2 days ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
An eScience-Bayes strategy for analyzing omics data
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
ICASSP
2007
IEEE
14 years 1 months ago
Unsupervised Audio Segmentation using Extended Baum-Welch Transformations
Audio segmentation has applications in a variety of contexts, such as audio information retrieval, automatic sound analysis, and as a pre-processing step in speech recognition. Ex...
Tara N. Sainath, Dimitri Kanevsky, Giridharan Iyen...
NIPS
1998
13 years 8 months ago
Probabilistic Image Sensor Fusion
We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
Ravi K. Sharma, Todd K. Leen, Misha Pavel
AINA
2008
IEEE
14 years 1 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh