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problem2
matlab 感知机实验源码（神经网络课程实验一）(Perceptron test matlab source)
- 2009-04-28 13:29:54下载
- 积分：1
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cancion1
noise cancelation using matlab, select your audio file
- 2014-09-08 12:08:50下载
- 积分：1
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3
说明： To write and programs for image arithmetic operations
- 2015-04-02 11:25:51下载
- 积分：1
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ArchitectingSecureSoftwareSystems
it is a book with this name Architecting Secure Software Systems
- 2010-12-03 02:15:57下载
- 积分：1
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Improved-ICA-character-recognition
该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。(The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of the multilayer perceptron and unidirectional.)
- 2012-10-28 14:38:30下载
- 积分：1
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High-order-statistics-
高阶统计量的基础学习资料，包括高阶统计量在信号处理方面的一些应用(High order statistics based learning materials, including high order statistics in signal processing some of the application)
- 2011-12-31 14:18:44下载
- 积分：1
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facedetection
Matlab人脸检测程序，基于YCbCr和HSV颜色空间，支持多人脸检测，并且用图框框出多个人脸。。。(Matlab Face detection program, based on YCbCr and HSV color space, support for multiple face detection, and more than one face and figure frame. . .)
- 2013-05-12 20:41:37下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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Shifters
傅里叶变换的另一种表述，傅里叶变换的另一种表述，傅里叶变换的另一种表述(Another statement Fourier transform, Fourier transform another expression, another expression of Fourier transform)
- 2010-11-21 11:46:53下载
- 积分：1
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fcmC
这是一种优化的FCM算法
可以自动确定分类数
有关于c,m的改进(This is an optimization of the FCM algorithm to automatically determine the number of categories on the c, m improvement)
- 2010-11-30 00:48:06下载
- 积分：1
