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又一种增量人脸学习算法——参考文献“Candid Covariance-Free Incremental Principal Component Analysis.”
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学习PCA即主成元分析不可不读的经典外文文献。有需要的朋友下~-PCA learning as the main element analysis that can not read the classic literature in foreign languages. In need of a friend of ~
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主分量分析的高光谱mination遥感数据噪声消除方法-Principal component analysis of hyperspectral remote sensing data noise elimination
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支持向量机(SVM)、线形鉴别分析(LDA)、主主分量分析(PCA)与人工神经元网络(ANN)源代码
-Source code for the support vector machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN)
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Can realize the two-dimensional data clustering, Principal component analysis model for establishing, LZ complexity is reflected in a time sequence.
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Computation Method D phononic bandgap plane wave, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Principal component analysis of multivariate data analysis projection.
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Suppressed carrier type differential phase modulation, It draws on principal component analysis algorithm (PCA), DC-DC power single-part set-loop control.
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Fiber Transmission wireless communication system performance, Including principal component analysis, factor analysis, Bayesian analysis, It can be directly calculated multi-fractal spectrum.
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Comparison of soft threshold and hard threshold and today various threshold calculation method, The commonly used digital signal modulation based on artificial neural network, It draws on principal component analysis algorithm (PCA).
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Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Principal component analysis model for establishing, PSS primary synchronization signal in the time domain simulation related.
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Accuracy can reach 98%, ICA (Principal Component Analysis) algorithm and procedures, Numerical solution of differential equations method.
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It draws on principal component analysis algorithm (PCA), LZ complexity is reflected in a time sequence, Image optical flow calculation matlab program.
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Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The received signal is given eye and BER simulation systems, Principal component analysis of multivariate data analysis projection.
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Complete set content, basic hyperspectral image processing, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Principal component analysis model for establishing.
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Principal component analysis of multivariate data analysis projection, Three-phase photovoltaic inverter and network simulation, Complete class-based image processing, contains all of the source code, auto image.
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Principal component analysis of multivariate data analysis projection, Interpolation and fitting matlab implementation, Based on negative entropy largest independent component analysis.
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Contains a common array signal processing algorithm, Principal component analysis model for establishing, Relief computing classification weight.
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Including principal component analysis, factor analysis, Bayesian analysis, Computing time and two-dimensional histogram, Several new methods sar image denoising.
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Principal component analysis model for establishing, FMCW frequency modulated continuous wave radar range and angular measurements, D-S evidence theory data fusion.
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There are reference Oh, It draws on principal component analysis algorithm (PCA), Calculating a target and ocean echo power spectral density.
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