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 Wavelet Domain
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 mixtures.
ocica97-p.rar
- 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
ImageDenoisingBLSGSM.rar
- 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 "
voc-release2
- 这个matlab程序实现了基于一种采用判别方法训练的多尺度和可变形的物体检测模型的目标检测算法，算法可参考如下两篇论文 -[1] P. Felzenszwalb, D. McAllester, D. Ramanan A Discriminatively Trained, Multiscale, Deformable Part Model Proceedings of the IEEE CVPR 2008 [2] P. Felzenszwalb, R. Girshick, D.
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 and neural network training al
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 rough templates (references). T
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 find the centers of natural clu
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.
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. & llermann, W. Multichannel esti
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-Maximization algorithm for Multivariate
mmvn_toolkit
- A toolkit for Gaussian mixtures. flexible tools for: Generating univariate, multivariate, or mixtures of gaussians Interactive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove dimensions or
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 individually with one of the three
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
Clustering with Gaussian Mixtures
- This documents explains in details with examples of the use Expectation Maximisation algorithm for maximum likelihood estimation in Gaussian mixtures.