849 search results - page 16 / 170 » Variational methods for the Dirichlet process |
ICA
2004
Springer
2004
Springer
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
15 years 2 months ago
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
DAGM
2005
Springer
15 years 3 months ago
2005
Springer
We present a novel variational method for estimating dense disparity maps from stereo images. It integrates the epipolar constraint into the currently most accurate optic flow met...
DAC
2009
ACM
15 years 4 months ago
2009
ACM
It is unknown how to include stochastic process variation into fast-multipole-method (FMM) for a full chip capacitance extraction. This paper presents a parallel FMM extraction us...
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SIGPRO
2010
14 years 7 months ago
2010
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
DAC
2004
ACM
15 years 10 months ago
2004
ACM
timing analysis tools to replace standard deterministic static timing analyzers whereas [8,27] develop approaches for the statistical estimation of leakage power considering within...