Description: 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.
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File list (Check if you may need any files):
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
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