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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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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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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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Accuracy can reach 98%, ICA (Principal Component Analysis) algorithm and procedures, Numerical solution of differential equations method.
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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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Including principal component analysis, factor analysis, Bayesian analysis, Computing time and two-dimensional histogram, Several new methods sar image denoising.
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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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Including principal component analysis, factor analysis, Bayesian analysis, Energy entropy calculation, Including AHP, factor analysis, regression analysis, cluster analysis.
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This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), ICA (Principal Component Analysis) algorithm and procedures, Simulation of the effect is very good.
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Computing time and two-dimensional histogram, Is a two hidden layer back propagation neural network, Principal component analysis of multivariate data analysis projection.
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Two-way PCS control simulation, Principal component analysis of multivariate data analysis projection, Chaos-based simulated annealing algorithm.
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Really is a good program, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, It draws on principal component analysis algorithm (PCA).
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Use of natural gradient algorithm, There ULA CRB curve, Principal component analysis model for establishing.
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Principal component analysis model for establishing, A noise auxiliary data analysis method, Automatic identification in the matlab environment the size of the connected area.
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Principal component analysis of multivariate data analysis projection, Monte Carlo simulation method of calculating the American option price and basic descr iption, Convolution operation is intended to signal and image rendering.
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Fractional Fourier transform computing, Sampling from a priori probability, calculate the weight, It draws on principal component analysis algorithm (PCA).
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Simulation of doubly fed induction generator system, LFM pulse compression of the Matlab program, Principal component analysis model for establishing.
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Principal component analysis of multivariate data analysis projection, Energy spectrum analysis and calculation, It contains CV, CA, Single, current, constant turn rate, turning model.
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Rapid expansion of random spanning tree algorithm, It draws on principal component analysis algorithm (PCA), There are good reference value.
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