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an_ica_tool
- 一个ICA工具。This binary version of the runica() function of Makeig et al. contained in the EEG/ICA Toolbox runs 12x faster than the Matlab version. It uses the logistic infomax ICA algorithm of Bell and Sejnowski, with natural gradient and extended
facedetector
- 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduct
topoplot
- 基于采集的脑电导联信号，用matlab去噪和伪迹，最后绘制脑地形图。 去噪文件夹： FastICA_25文件夹为 fastICA函数；pca为pca 函数； av_sub伪迹减法去噪； ica_step1，ica_step2&pca 为ica与pca的去噪程序； wave_entro为小波熵的计算程序； topoplot为地形图函数； topo为画地形图程序；eloc32,eloc16为函数调用32导/16导的头皮电极分布位置 get_txt将采集的脑
icaMF
- ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
边缘检测算法
- 该工具箱专为模式识别定制，主要是数字图像识别，比如特征提取、图像分类、PCA、LDA、ICA、DCT、RBF、RBE、GRNN、KNN、minimum distance、SVM等等
Match
- 图像匹配程序，实现ICA、PCA、SIFT多种算法的匹配，并进行比较-Image matching process, to achieve ICA, PCA, SIFT matching a variety of algorithms, and compare
ToolBox
- matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
CellSort_1.1
- This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full descr iption and validation of the method is provided in the paper, "Autom
EE4208_FaceRecog_ZhaoJian_v1
- The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/pro
huffman_program
- 涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），-Techniques involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN),
ICA332
- 这是个改进的ICA独立分量分析程序 与PCA相似 效果较好-This is a ICA improved independent component analysis program with PCA similar effect is good
1306713469
- PCA和ICA方法实现自己编的pca和IHS融合代码!! 与大家交流! -principle component analysis
code
- 独立主成分分析与主成分分析代码，速度比较快，而且比较好用-In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown i
FastICA_25
- FastICA programs: FASTICAG - GUI for FastICA FASTICA - Mfile for FastICA functions used by FastICA: FPICA - main algorithm for calculating ICA WHITENV - function for whitening data PCAMAT - calculates the PCA for data REMMEA
pcaica
- pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析-the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis
Color-rendering.
- 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程，还有一下其它的人脸检测的背景知识。-Face expression identification code, part of the realization of the algorithm and write the purpo
ECG-classification
- 心电图是一种经胸腔的以时间为单位记录心脏的电生理活动，并通过皮肤上的电极捕捉并记录下来的诊疗技术，能警示人体心脏健康状况。我们对十种不同心脏状况的心电图（ECG）数据进行实验，在对原始数据进行了一系列预处理后，利用PCA和ICA进行特征提取降维得到新的特征空间，并利用支持向量机进行训练，最后对未分类心电数据进行分类标记并评价其性能。-Electrocardiography (ECG) is a transthoracic interpretation of the electrical acti
PCA_and_ICA
- pca and ica.dimensionality reduction
ICAtoolbox3_8
- Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where
svm
- svm工具箱，程序与应用实例 scaleForSVM:归一化 pcaForSVM:pca降为预处理 fasticaForSVM:ica降为预处理 等-svm toolbox, procedures and application examples