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[Video Capturegg_mle.tar

Description: 运动检测matlab程序和广义高斯分布的matlab程序-motion detection procedures and Matlab Generalized Gaussian distribution of Matlab procedures
Platform: | Size: 6083 | Author: 连强 | Hits:

[Video Capturegg_mle.tar

Description: 运动检测matlab程序和广义高斯分布的matlab程序-motion detection procedures and Matlab Generalized Gaussian distribution of Matlab procedures
Platform: | Size: 6144 | Author: 连强 | Hits:

[GPS developGCCstandard

Description: 广义的互相提取时延算法,此程序是基于matlab的源程序,适用于非高斯信号和高斯白噪声的情况-Generalized mutual delay extraction algorithms, this procedure is based on the matlab source, applicable to non-Gaussian signal and Gaussian white noise situation
Platform: | Size: 1024 | Author: 张海涛 | Hits:

[matlabGGD_paramter

Description: 这个matlab程序用于实现广义高斯分布的参数估计,非常有用-Matlab program for the realization of the generalized Gaussian distribution of parameter estimation, a very useful
Platform: | Size: 7168 | Author: | Hits:

[Graph programGGD

Description: 自己编写的matlab程序,用于广义高斯分布的形状参数估计。-Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation.
Platform: | Size: 132096 | Author: lpmsu | Hits:

[matlabstprtool

Description: 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1,Analysis of linear discriminant function 2,Feature extraction: Linear Discriminant Analysis 3,Probability distribution estimation and clustering 4,Support Vector and other Kernel Machines- This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm
Platform: | Size: 4271104 | Author: 查日东 | Hits:

[matlabWaveletBasedTextureRetrievalUsingGeneralizedGaussi

Description: 基于小波变换的特征检索算法,用了广义高斯函数和K-L距离为相似侧度 -Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance
Platform: | Size: 22528 | Author: 于梅 | Hits:

[matlabwave_tex.tar

Description: A package for wavelet-based texture retrieval: MATLAB source code that produced the results in the paper Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance.
Platform: | Size: 39936 | Author: dao | Hits:

[Special EffectsGKIT

Description: 基于广义高斯模型的自动阈值选取(GKIT),用于图像分割、图像分类。-GKIT:Threshold Selcetion Based on the Generalized Gaussian Models,for image segmentation and classification
Platform: | Size: 354304 | Author: Fan | Hits:

[Special Effectsgg_mle

Description: 广义高斯概率分布函数的指数估计,包括矩估计和最大似然估计,并对这两种估计进行了比较-exponential cosfficients estimation for generalized Gaussian pdf,include moment estimator and Maximum Likehood estimator.
Platform: | Size: 9216 | Author: meizi | Hits:

[matlabGMM-GMR-v1.2

Description: GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
Platform: | Size: 1034240 | Author: ning | Hits:

[Software Engineeringggmle

Description: Matlab implementation of the moment matching and maximum likelihood estimators for the generalized Gaussian density.
Platform: | Size: 7168 | Author: esibackup | Hits:

[AI-NN-PRANN

Description: 自适应神经网络图书馆(Matlab的5.3.1或更高版本)是实现多个自适应神经网络具有不同的自适应算法块的集合。 它主要分布于2001年6月 - 7月詹皮耶罗坎帕(西弗吉尼亚大学)和马里奥·卢卡Fravolini(佩鲁贾大学)。后来改善部分由美国航天局资助NCC5-685支持。 有迹象表明,实施基本上这些种神经网络的块: 自适应线性网络(ADALINE) 多层感知层网络 广义径向基函数网络 动力单元结构(DCS)网络的高斯或圆锥形基函数 此外,包括有关的标量非线性函数逼近的一个Simulink的例子。 最后,该文件包括Training.zip步步instrucions上如何培养GRBF网络和支撑例子。-Adaptive Neural Network Library (version 5.3.1 or higher Matlab' s) is to achieve a plurality of adaptive neural network has a different set of adaptive algorithms block. It is mainly distributed in June 2001- July 詹皮耶罗坎 Pa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improved in part by the NASA-funded NCC5-685 support. There are indications that the implementation of these types of neural networks basically block: adaptive linear network (ADALINE) multi-layer network-aware generalized radial basis function network power unit structure (DCS) network Gaussian or conical base function addition, including related Examples of scalar nonlinear function approximation of a Simulink. Finally, the document includes a step by step instrucions on how to cultivate GRBF Training.zip network and support examples.
Platform: | Size: 598016 | Author: YuWang | Hits:

[Windows Develop02769130

Description: 运动检测matlab程序和广义高斯分布的matlab程序-Motion detection matlab and generalized gaussian distribution of the matlab program
Platform: | Size: 6144 | Author: mfsv$566651 | Hits:

[OpenCVdecond-clipboard

Description: 运动检测matlab程序和广义高斯分布的matlab程序(Motion detection matlab and generalized gaussian distribution of the matlab program)
Platform: | Size: 5120 | Author: Ltuhtr | Hits:

[Special Effects4fab7b56a46f4

Description: 根据现有的程序,对两幅图像分别进行二维小波变换,分别对变换后得到的水平,垂直以及对角细节子带的小波系数进行直方图统计,然后用广义高斯函数去近似三个直方图,分别得到尺度参数和形状参数,求出对应图像的KL距离。(According to the existing programs, the two images respectively, two-dimensional wavelet transform respectively to levels after transformation, vertical and diagonal detail subband of wavelet coefficient histogram statistics, then use the generalized gaussian function to approximate three histogram, scale and shape parameters, respectively and the corresponding image KL distance.)
Platform: | Size: 146432 | Author: whitney4459 | Hits:

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