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ICASSP
2011
IEEE
12 years 11 months ago
Seismic waves estimation and wave field decomposition with factor graphs
Physical wave fields are often described by means of a vector field. Advances in sensor technology enable us to collect an increasing number of measurement at the same location ...
Stefano Maranò, Christoph Reller, Donat Fah...
CVPR
2000
IEEE
14 years 9 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
CSDA
2007
101views more  CSDA 2007»
13 years 7 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
ISCI
2008
130views more  ISCI 2008»
13 years 7 months ago
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
Weishan Dong, Xin Yao
ICASSP
2008
IEEE
14 years 2 months ago
Determining the parameters in regularized super-resolution reconstruction
We derive a novel method to determine the parameters for regularized super-resolution problems. The proposed approach relies on the Joint Maximum a Posteriori (JMAP) estimation te...
Marcelo Victor Wüst Zibetti, Joceli Mayer, Fe...