搜索资源列表
amde
- Adaptive Mixtures Density Estimation的matlab实现-Adaptive Mixtures Density Estimation of ma tlab achieve
mbcfinmix
- MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab实现-MODEL-BASED FINITE MIXTURES USING THE EM A the Matlab achieve LGORITHM
BLS-GSM_Denoising
- 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 W
opencv em算法
- 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 mi
amde
- Adaptive Mixtures Density Estimation的matlab实现-Adaptive Mixtures Density Estimation of ma tlab achieve
mbcfinmix
- MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab实现-MODEL-BASED FINITE MIXTURES USING THE EM A the Matlab achieve LGORITHM
BLS-GSM_Denoising
- 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 Wa
QuantitativeAnalysisofGasMixtureUsinganArtificialN
- 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
ICA_with_Reference
- 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 r
KMEANS10
- 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 f
Bayesian
- 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
linear_and_convolutive_mixtures_simulation
- Making Linear and convolutive mixtures from some independent sources.
ocica97-p
- 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
herbordt2003
- 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. &
fsmem_mvgm
- 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-Maximizat
gmmbayestb-v0.1.tar
- 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 indi
ImageDenoisingBLSGSM
- 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 "
Online-clustering-via-finite-mixtures-of-Dirichle
- a pdf file about Online clustering via finite mixtures of Dirichlet
Underdetermined-Mixtures-
- 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
Sound-Recognition-in-Mixtures
- Sound Recognition in Mixtures