Description: This the Matlab image processing, video processing algorithms, and beginners can see, I spent a good
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新建文件夹\About.bmp
..........\Ada_Boost.m
..........\ADDC.m
..........\AGHC.m
..........\Backpropagation_Batch.m
..........\Backpropagation_CGD.m
..........\Backpropagation_Quickprop.m
..........\Backpropagation_Recurrent.m
..........\Backpropagation_SM.m
..........\Backpropagation_Stochastic.m
..........\Balanced_Winnow.m
..........\Bayesian_Model_Comparison.m
..........\Bhattacharyya.m
..........\BIMSEC.m
..........\C4_5.m
..........\calculate_error.m
..........\calculate_region.m
..........\CART.m
..........\CARTfunctions.m
..........\Cascade_Correlation.m
..........\Chernoff.m
..........\chess.mat
..........\Classification.txt
..........\classification_error.m
..........\classifier.m
..........\classifier.mat
..........\classifier_commands.m
..........\click_points.m
..........\clouds.mat
..........\Competitive_learning.m
..........\Components_without_DF.m
..........\Components_with_DF.m
..........\contents.m
..........\decision_region.m
..........\Deterministic_annealing.m
..........\Deterministic_Boltzmann.m
..........\Deterministic_SA.m
..........\Discrete_Bayes.m
..........\Discriminability.m
..........\DSLVQ.m
..........\EM.m
..........\enter_distributions.m
..........\enter_distributions.mat
..........\enter_distributions_commands.m
..........\feature_selection.m
..........\feature_selection.mat
..........\Feature_selection.txt
..........\feature_selection_commands.m
..........\FindParameters.m
..........\FindParameters.mat
..........\FindParametersFunctions.m
..........\find_classes.m
..........\FishersLinearDiscriminant.m
..........\fuzzy_k_means.m
..........\GaussianParameters.m
..........\GaussianParameters.mat
..........\generate_data_set.m
..........\Genetic_Algorithm.m
..........\Genetic_Culling.m
..........\Genetic_Programming.m
..........\Gibbs.m
..........\HDR.m
..........\high_histogram.m
..........\Ho_Kashyap.m
..........\ICA.m
..........\ID3.m
..........\Infomat.m
..........\Interactive_Learning.m
..........\Kohonen_SOFM.m
..........\Koller.m
..........\k_means.m
..........\Leader_Follower.m
..........\LMS.m
..........\load_file.m
..........\Local_Polynomial.m
..........\LocBoost.m
..........\LocBoostFunctions.m
..........\loglikelihood.m
..........\LS.m
..........\LVQ1.m
..........\LVQ3.m
..........\make_a_draw.m
..........\Marginalization.m
..........\MDS.m
..........\Minimum_Cost.m
..........\min_spanning_tree.m
..........\ML.m
..........\ML_diag.m
..........\ML_II.m
..........\multialgorithms.m
..........\multialgorithms.mat
..........\multialgorithms_commands.m
..........\Multivariate_Splines.m
..........\NDDF.m
..........\NearestNeighborEditing.m
..........\Nearest_Neighbor.m
..........\NLPCA.m
..........\None.m
..........\Optimal_Brain_Surgeon.m
..........\.ther\Bayesian_Belief_Networks.m
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