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CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 2 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
ICASSP
2011
IEEE
14 years 1 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
BMCBI
2010
135views more  BMCBI 2010»
14 years 10 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...
IMAGING
2004
14 years 11 months ago
Optimal Linear RGB-to-XYZ Mapping for Color Display Calibration
Color display calibration, in part, involves mapping input RGB values to corresponding output values in a standardized color space such as CIE XYZ. A linear model for RGB-to-XYZ m...
Behnam Bastani, Roozbeh Ghaffari, Brian V. Funt
UAI
2000
14 years 11 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...