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Independent component analysis for face recognition
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自己编的fast独立元分析程序。对数据进行降维,去相关,好用。-Its own series of fast independent component analysis program. Easy to use.
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fast fixed-point algorithm -The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a comput
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A package for independent component analysis based on high order statistics
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独立分量ica:快速ICA算法软件包是基于MATLAB程序实现的快速定点独立成分分析和投影寻踪算法。它具有一个易于使用的图形用户界面,以及强大的计算算法。-The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an
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快速ica算法,ica(独立成分分析)。-Fast ica algorithm, ica (independent component analysis).
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一个独立成分分析的测试文件,包含了几个声音文件,可以用来测试自己的盲信号分离算法。-An independent component analysis of the test file that contains a number of sound files that can be used to test their algorithm for blind signal separation.
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独立分量分析是20世纪末发展起来的一类多通道信号分解方法,是信号处理技术发展中的一项前沿热点。這些論文介绍预备知识。供从事信号处理的科技工作者自学或进修选用。... -Independent component analysis is developed in the late 20th century a class of multi-channel signal decomposition method is signal processing technology in the devel
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独立成分分析(Independent Component Analysis, ICA)是近年来发展起来的一种有效的盲分离技术,最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题,其过程可以归纳为,在源信号与传输通道参数均未知的情况下,仅根据源信号的统计特性,出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据,即目标函数,并设计相应的优化算法,寻求最优的分离矩阵,使得输出信号中各分量尽可能相互独
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Independent Component Analysis for Blind Multiuser Detections
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基于ICA的独立分量分析,目标函数是负熵,快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
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基于负熵的FASTICA的不动点算法,并行提取信号,独立分量分析-Based on negative entropy FASTICA the fixed point algorithm, parallel extract the signal, independent component analysis
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基于最大似然估计的独立分量分析算法,包括随机梯度算法,相对梯度算法,快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
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Implements the fast fixed-point algorithm for independent component analysis and projection pursuit.
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在基于特征提取方法之上, 研究用算法对目标多视角问题进行分类器设计。在对
图像进行独立成分分析后, 针对多姿态角目标识别问题, 提出了角度优先粗分类的设计方法-Feature extraction method based on above research objective of the algorithm to classify multi-view design problem. In the right image independent component analysis, t
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基于、的特征提取方法, 研究、算法的多角度分类器设计问
题在对图像进行主成分分析和独立成分分析后, 针对多姿态角目标识别问题, 提出了角度优先粗分
类的设计方法, 并给出系统流程, 最后-Based, feature extraction methods, research, multi-angle algorithms classifier design problem in the image principal component analysis and independent
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Independent Component Analysis ICA
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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
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code for speaker recognition using independent component analysis
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compute the Independent component analysis (ICA)
with the algorithm of infomax
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