提出了一种用各向异性双变量拉普拉斯函数模型去模拟NSCT域的系数的图像去噪算法,这种各向异性双边拉普拉斯模型不仅考虑了NSCT系数相邻尺度间的父子关系,同时满足自然图像不同尺度间NSCT系数方差具有各向异性的特征,基于这种统计模型,文中先推导出了一种各向异性双变量收缩函数的近似形式,然后基于贝叶斯去噪法和局部方差估计将这种新的阈值收缩函数应用于NSCT域,实验结果表明文中提出的方法同小波域 BiShrink算法、小波域ProbShrink算法、小波域NeighShrink算法相比,能够有效地去除图像的高斯噪声,提高了图像的峰值信噪比;并较完整地保持了图像的纹理和边缘等细节信息,从而明显改善了图像的视觉效果。
上传时间: 2013-10-23
上传用户:thuyenvinh
这个软件支持Bayesian衰退和分类模形,它基于神经系统网络和Gaussian作用。它也包括一些根本的程序实现有限和无限混合的模型。
上传时间: 2015-01-14
上传用户:Altman
朴素贝叶斯分类器(Navie Bayesian Classifier)识别鼠标输入的字母A~J
标签: Classifier Bayesian Navie 贝叶斯
上传时间: 2015-03-08
上传用户:chfanjiang
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.
标签: instantaneous algorithm Bayesian Gaussian
上传时间: 2013-12-19
上传用户:jjj0202
bayeserr - Computes the Bayesian risk for optimal classifier. % bayescln - Classifier based on Bayes decision rule for Gaussians. % bayesnd - Discrim. function, dichotomy, max aposteriori probability. % bhattach - Bhattacharya s upper limit of mean class. error. % pbayescln - Plots discriminat function of Bayes classifier.
标签: Classifier classifier bayeserr Computes
上传时间: 2015-06-14
上传用户:sunjet
Bayesian Filter.贝叶斯(Bayesian)滤波器的C++类库。包括卡尔曼滤波(kalman filter)、粒子滤波(particle filter)等。
标签: Bayesian filter particle Filter
上传时间: 2013-12-28
上传用户:ukuk
ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University).
标签: Matlabtoolkit facilitate sequential functions
上传时间: 2015-08-31
上传用户:皇族传媒
一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
标签: classifier includes bayesian decision
上传时间: 2015-09-11
上传用户:gaome
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
标签: Classifiers Implemented Bayesian applying
上传时间: 2015-09-11
上传用户:ommshaggar
The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussian process regression. - The code is for Matlab Version 1.0, November 2005
标签: approximation large-scale Committee Bayesian
上传时间: 2015-09-14
上传用户:caiiicc