824 search results - page 159 / 165 » Learning probabilistic logic models from probabilistic examp... |
SIGGRAPH
2000
ACM
15 years 1 months ago
2000
ACM
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
PAMI
2008
14 years 9 months ago
2008
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
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SIGMOD
2006
ACM
15 years 9 months ago
2006
ACM
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
VLSISP
2010
14 years 7 months ago
2010
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...