Description: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources. Platform: |
Size: 7664 |
Author:陈互 |
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Description: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources. Platform: |
Size: 7168 |
Author:陈互 |
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Description: 基于变分贝叶斯方法的状态空间模型学习程序-Based on the Variational Bayesian methods of state space model the learning process Platform: |
Size: 17408 |
Author:程正 |
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Description: The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning Platform: |
Size: 439296 |
Author:roz yang |
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Description: 一个基础贝叶斯变换的压缩感知,包含一个源代码和一个一维信号处理的例子和两个二维图像的例子-The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images. Platform: |
Size: 92160 |
Author:chen |
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Description: Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm. Platform: |
Size: 6144 |
Author:ruso |
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Description: In this paper, we propose a Bayesian methodology for
receiver function analysis, a key tool in determining the deep structure
of the Earth’s crust.We exploit the assumption of sparsity for
receiver functions to develop a Bayesian deconvolution method as
an alternative to the widely used iterative deconvolution.We model
samples of a sparse signal as i.i.d. Student-t random variables.
Gibbs sampling and variational Bayes techniques are investigated
for our specific posterior inference problem. We used those techniques
within the expectation-maximization (EM) algorithm to
estimate our unknown model parameters. The superiority of the
Bayesian deconvolution is demonstrated by the experiments on
both simulated and real earthquake data. Platform: |
Size: 3350528 |
Author:张洋 |
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Description: 基于变分贝叶斯的独立成分分析
模型包括一般的高斯混合模型以及高斯混合模型与隐马尔科夫结合在一起的-Based on variational Bayesian independent component analysis model consists of a general Gaussian mixture Gaussian mixture model and hidden Markov models and combined Platform: |
Size: 1037312 |
Author:czf |
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Description: 基于变分贝叶斯估计的相机抖动模糊图像的盲复原算法.pdf-Blurred image of the blind restoration algorithm based on variational Bayesian estimation of camera jitter. Pdf Platform: |
Size: 922624 |
Author:li |
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Description: 基于变分贝叶斯里理论的图像超分辨率重建技术,对于理解超分辨率技术有一定帮助。-In theory based on variational Bayesian image super-resolution reconstruction technique for understanding the super-resolution technology has certainly helped. Platform: |
Size: 8192 |
Author: |
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Description: 一种隐藏因子重构遗传调控网络的贝叶斯方法,这是一个变化的贝叶斯状态空间模型的MATLAB工具箱的图形化前端 -Reconstruction of a hidden factor of genetic regulatory network Bayesian approach, This is a graphical front end for the Variational Bayesian State Space Modelling toolbox for Matlab8 Platform: |
Size: 461824 |
Author:lubo |
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Description: 一个基础贝叶斯变换的压缩感知,包含一个源代码和一个一维信号处理的例子和两个二维图像的例子-The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images. Platform: |
Size: 80896 |
Author:我去 |
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