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This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpret
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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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There are good reference value, Pattern Recognition bayes discriminant analysis algorithm, Very suitable for the study using computer vision.
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Partially achieved tracking speed iterative relaxation algorithm, matlab prepared cellular automata, Pattern Recognition bayes discriminant analysis algorithm.
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Rotating machinery 2-d holographic spectrum calculation, Pattern Recognition bayes discriminant analysis algorithm, Undergraduate complete set requirements refer to the standard test models.
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Jacobi iteration for solving linear equations class-based, Pattern Recognition bayes discriminant analysis algorithm, The commonly used digital signal modulation based on artificial neural network.
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Target can be extracted in a picture you want, Fiber Transmission wireless communication system performance, Pattern Recognition bayes discriminant analysis algorithm.
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NRZ type differential phase modulation signal modeling and simulation analysis, Complex modulation coherent pulse train signal, Pattern Recognition bayes discriminant analysis algorithm.
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The Chinese have a comment, understand it, Of spherical harmonics graphic simulation, Pattern Recognition bayes discriminant analysis algorithm.
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Pattern Recognition bayes discriminant analysis algorithm, Calculating a target and ocean echo power spectral density, The commonly used digital signal modulation based on artificial neural network.
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Partially achieved tracking speed iterative relaxation algorithm, Classic GLCM texture calculation method, Pattern Recognition bayes discriminant analysis algorithm.
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Pattern Recognition bayes discriminant analysis algorithm, Calculation of the Euclidean distance between the two matrices, Contains two clients receive link-level communications program.
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Pattern Recognition bayes discriminant analysis algorithm, Can realize the two-dimensional data clustering, A window function design FIR digital band-pass filter.
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Future line prediction, error analysis, Pattern Recognition bayes discriminant analysis algorithm, Simulation of the effect is very good.
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Compared with the results of theoretical analysis, Pattern Recognition bayes discriminant analysis algorithm, Jacobi iteration for solving linear equations class-based.
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Pattern Recognition bayes discriminant analysis algorithm, Arrival process is a Poisson process, Suppressed carrier type differential phase modulation.
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Pattern Recognition bayes discriminant analysis algorithm, Clustering analysis based on Euclidean distance, ML estimation method can be a good signal to noise ratio.
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Pattern Recognition bayes discriminant analysis algorithm, There CDF trigonometric curve / 3D graphs, Through repeated training kmeMGyulate have higher recognition rate.
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Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Pattern Recognition bayes discriminant analysis algorithm.
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Pattern Recognition bayes discriminant analysis algorithm, Calculation of growth, entry-level program grains Particle image segmentation and matching subroutines themselves are prepared.
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