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» Bayesian Generalized Kernel Models
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74
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HOTOS
1999
IEEE
15 years 2 months ago
Hey, You Got Your Compiler in My Operating System!
Several operating systems projects revolve around moving functionality above or below the kernel "red line" to increase flexibility or performance. We describe how a gen...
Jon Howell, Mark H. Montague
97
Voted
QEST
2010
IEEE
14 years 7 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...
CCS
2008
ACM
14 years 11 months ago
A security architecture for transient trust
In extraordinary situations, certain individuals may require access to information for which they are not normally authorized. For example, to facilitate rescue of people trapped ...
Cynthia E. Irvine, Timothy E. Levin, Paul C. Clark...
CVPR
2010
IEEE
15 years 6 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
ECCV
2010
Springer
15 years 3 months ago
3D Point Correspondence by Minimum Description Length in Feature Space
Abstract. Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. For the point correspondence ...