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JMLR
2010
157views more  JMLR 2010»
14 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
153
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PE
2010
Springer
135views Optimization» more  PE 2010»
14 years 11 months ago
Performance evaluation of component-based software systems: A survey
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
Heiko Koziolek
TIP
2011
231views more  TIP 2011»
14 years 11 months ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
CMSB
2007
Springer
15 years 10 months ago
Expressive Models for Synaptic Plasticity
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
133
Voted
CVPR
2001
IEEE
16 years 6 months ago
Rectifying Transformations That Minimize Resampling Effects
Image rectification is the process of warping a pair of stereo images in order to align the epipolar lines with the scan-lines of the images. Once a pair of images is rectified, s...
Joshua Gluckman, Shree K. Nayar