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Description: Adaptive Mixtures Density Estimation的matlab实现-Adaptive Mixtures Density Estimation of ma tlab achieve
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Size: 2260 |
Author: 黄风 |
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Description: MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab实现-MODEL-BASED FINITE MIXTURES USING THE EM A the Matlab achieve LGORITHM
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Size: 2471 |
Author: 黄风 |
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Description: 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, \"Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain
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Size: 1370442 |
Author: pudndcy |
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Description: Expectation-Maximization
The EM (Expectation-Maximization) algorithm estimates the parameters of the multivariate probability density function in a form of the Gaussian mixture distribution with a specified number of mixtures.
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Size: 83968 |
Author: luochentianshui@126.com |
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Description: Adaptive Mixtures Density Estimation的matlab实现-Adaptive Mixtures Density Estimation of ma tlab achieve
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Size: 2048 |
Author: 黄风 |
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Description: MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab实现-MODEL-BASED FINITE MIXTURES USING THE EM A the Matlab achieve LGORITHM
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Size: 2048 |
Author: 黄风 |
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Description: 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli,
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Size: 1370112 |
Author: pudndcy |
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Description: 优选了分析CO、H2和CH4混合气体的传感器阵列,构造了传感器信号预处理和神经网络
训练算法,从而建立了用于混合气体定量分析的人工嗅觉系统。实验结果证明,系统能够以较高的
精度分辨出3种气体的浓度。
-Optimization of the analysis of CO, H2 and CH4 mixed gas sensor array, constructs a sensor signal pre-processing and neural network training algorithm, which was established for quantitative analysis of gas mixtures of artificial olfactory system. The experimental results proved that the system is able to differentiate between high accuracy three kinds of gases.
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Size: 31744 |
Author: zhaiyaojie |
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Description: We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear
mixtures when some a priori information of the sources are available in the form of rough templates (references). The constrained
independent component analysis (cICA) is extended to incorporate the reference signals that carry some information of the sources as
additional constraints into the ICA contrast function. A neural algorithm is then proposed using a Newton-like approach to obtain an
optimal solution to the constrained optimization problem. Stability of the convergence and selection of parameters in the learning
algorithm are analyzed. Experiments with synthetic signals and real fMRI data demonstrate the efficacy and accuracy of the proposed
algorithm.
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Size: 390144 |
Author: ma ming |
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Description: The k-means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural clusters in the data. It assumes that the object attributes form a vector space. The objective it tries to achieve is to minimize total intra-cluster variance, or, the squared error function
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Size: 19456 |
Author: AMEL |
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Description: this the doc related to the Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures-this is the doc related to the Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures
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Size: 3496960 |
Author: vinodh kumar |
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Description: Making Linear and convolutive mixtures from some independent sources.
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Size: 2173952 |
Author: B |
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Description: 这是一篇ica盲源分离方法的技术文章
Overcomplete 的方法来解决-Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations
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Size: 955392 |
Author: 叶惠 |
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Description: Herbordt, W. Nakamura, S. & llermann, W. Multichannel estimation of the power spectral density of noise for mixtures of nonstationary signals IPSJ SIG Technical Reports, 2004 ,131 ,211 - 216-Herbordt, W. Nakamura, S. & llermann, W. Multichannel estimation of the power spectral density of noise for mixtures of nonstationary signals IPSJ SIG Technical Reports, 2004 ,131 ,211- 216
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Size: 3072 |
Author: yao wang |
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Description: Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds
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Size: 220160 |
Author: ewizlab |
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Description: This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three variations of the Expectation Maximization algorithm: the basic EM algorithm with covariance fixing, the Figueiredo-Jain clustering algorithm and the greedy EM algorithm.
The basic EM and FJ algorithms can handle complex valued data directly, the greedy EM algorithm cannot.
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Size: 20480 |
Author: 李 |
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Description: 该仿真算法实现了论文Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain中图像降噪-This Algorithm utilize the method of paper "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain "
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Size: 1371136 |
Author: Alex |
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Description: a pdf file about Online clustering via finite mixtures of Dirichlet
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Size: 524288 |
Author: seren |
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Description: 复信号情况的基于信号先验特性函数的欠定盲分离-Blind Identification of Underdetermined Mixtures Based on the Characteristic Function The Complex Case
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Size: 1010688 |
Author: legend |
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Description: Sound Recognition in Mixtures
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Size: 139264 |
Author: oswald |
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