文件名称:EA-SRC
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Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy
advantage of sparse representation classification (SRC) in the area of image classification. Those two
methods, however, have their respective drawbacks, e.g., in general, ELM is known to be less robust to
noise while SRC is known to be time-consuming.
advantage of sparse representation classification (SRC) in the area of image classification. Those two
methods, however, have their respective drawbacks, e.g., in general, ELM is known to be less robust to
noise while SRC is known to be time-consuming.
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下载文件列表
EA-SRC\data\AR.mat
EA-SRC\data\usps.mat
EA-SRC\Demo_Classification.m
EA-SRC\Demo_Classification_EASRC.m
EA-SRC\Demo_Regression.m
EA-SRC\elm_initialization.m
EA-SRC\elm_test.m
EA-SRC\elm_train.m
EA-SRC\l1ls\@partialDCT\ctranspose.m
EA-SRC\l1ls\@partialDCT\mtimes.m
EA-SRC\l1ls\@partialDCT\partialDCT.m
EA-SRC\l1ls\find_lambdamax_l1_ls.m
EA-SRC\l1ls\find_lambdamax_l1_ls_nonneg.m
EA-SRC\l1ls\l1_ls.m
EA-SRC\l1ls\l1_ls_nonneg.m
EA-SRC\README.txt
EA-SRC\utilities\label_convert.m
EA-SRC\utilities\paramValue_Reset.m
EA-SRC\utilities\regressor.m
EA-SRC\utilities\sinc_Huang.m
license.txt
EA-SRC\data\usps.mat
EA-SRC\Demo_Classification.m
EA-SRC\Demo_Classification_EASRC.m
EA-SRC\Demo_Regression.m
EA-SRC\elm_initialization.m
EA-SRC\elm_test.m
EA-SRC\elm_train.m
EA-SRC\l1ls\@partialDCT\ctranspose.m
EA-SRC\l1ls\@partialDCT\mtimes.m
EA-SRC\l1ls\@partialDCT\partialDCT.m
EA-SRC\l1ls\find_lambdamax_l1_ls.m
EA-SRC\l1ls\find_lambdamax_l1_ls_nonneg.m
EA-SRC\l1ls\l1_ls.m
EA-SRC\l1ls\l1_ls_nonneg.m
EA-SRC\README.txt
EA-SRC\utilities\label_convert.m
EA-SRC\utilities\paramValue_Reset.m
EA-SRC\utilities\regressor.m
EA-SRC\utilities\sinc_Huang.m
license.txt