Description: Robust PVA de-noising, a lot better than PCA results, the program can run.
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File list (Check if you may need any files):
RobustSF
........\AR
........\..\X1.mat
........\..\X2.mat
........\..\tr_label.mat
........\..\ts_label.mat
........\Copy_of_compute_classifier_parametrs.m
........\DictionaryLearning.asv
........\DictionaryLearning.m
........\KSVD_Matlab_ToolBox
........\...................\KSVD.m
........\...................\KSVD_NN.m
........\...................\MOD.m
........\...................\NN_BP.m
........\...................\OMP.m
........\...................\OMPerr.m
........\...................\README.txt
........\...................\demo1.m
........\...................\demo2.m
........\...................\demo3.m
........\...................\denoiseImageDCT.m
........\...................\denoiseImageGlobal.m
........\...................\denoiseImageKSVD.m
........\...................\displayDictionaryElementsAsImage.asv
........\...................\displayDictionaryElementsAsImage.m
........\...................\gererateSyntheticDictionaryAndData.m
........\...................\globalTrainedDictionary.mat
........\...................\house.png
........\...................\lena.png
........\...................\my_im2col.m
........\...................\peppers256.png
........\NormalizeFea.m
........\PROPACK
........\.......\Afunc.m
........\.......\AtAfunc.m
........\.......\Atransfunc.m
........\.......\Cfunc.m
........\.......\bdsqr.m
........\.......\bdsqr.mexw32
........\.......\compute_int.m
........\.......\lanbpro.m
........\.......\laneig.m
........\.......\lanpro.m
........\.......\lansvd.m
........\.......\mminfo.m
........\.......\mmread.m
........\.......\mmwrite.m
........\.......\pythag.m
........\.......\refinebounds.m
........\.......\reorth.m
........\.......\test.m
........\.......\testtqlb.m
........\.......\tqlb.m
........\.......\update_gbound.m
........\RobustLatLRR.m
........\RobustSelection.m
........\TrainDictionary.m
........\ZDictionaryLearning.asv
........\ZDictionaryLearning.m
........\choosvd.m
........\compute_classifier_parametrs.m
........\compute_laplase.m
........\compute_projection_matrix.m
........\compute_projection_matrix_and_classifier_parameters.m
........\compute_representation.m
........\inexact_alm_rpca.m
........\predic_labels.m
........\predict.m
........\test.m
........\testSF.m
........\testSupervised.asv
........\testSupervised.m
........\testparameter.m
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