文件名称:PCAPLDA
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- 上传时间:2014-04-28
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文件大小:8.44kb
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PCA+LDA人脸识别,PCA降维到N-C,(N为训练样本数,C为类别数)使得Sw非奇异,主要是解决小样本,数据集为ORL,每类取9(可改)个图片-PCA+LDA recognition, PCA dimensionality reduction to NC, (N is the number of training samples, C is the number of categories) make Sw nonsingular, mainly to resolve the small sample, the data set for the ORL, taking every class 9 (can be changed) a picture
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下载文件列表
PCA+LDA/
PCA+LDA/creatData.asv
PCA+LDA/creatData.m
PCA+LDA/creatTestLabelMat.asv
PCA+LDA/creatTestLabelMat.m
PCA+LDA/creatTrainLabelMat.asv
PCA+LDA/creatTrainLabelMat.m
PCA+LDA/example.asv
PCA+LDA/example.m
PCA+LDA/knnRecognition.asv
PCA+LDA/knnRecognition.m
PCA+LDA/knnsearch.asv
PCA+LDA/knnsearch.m
PCA+LDA/LDA.asv
PCA+LDA/LDA.m
PCA+LDA/creatData.asv
PCA+LDA/creatData.m
PCA+LDA/creatTestLabelMat.asv
PCA+LDA/creatTestLabelMat.m
PCA+LDA/creatTrainLabelMat.asv
PCA+LDA/creatTrainLabelMat.m
PCA+LDA/example.asv
PCA+LDA/example.m
PCA+LDA/knnRecognition.asv
PCA+LDA/knnRecognition.m
PCA+LDA/knnsearch.asv
PCA+LDA/knnsearch.m
PCA+LDA/LDA.asv
PCA+LDA/LDA.m
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