文件名称:EA-SRC
介绍说明--下载内容来自于网络,使用问题请自行百度
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.
(系统自动生成,下载前可以参看下载内容)
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
本网站为编程资源及源代码搜集、介绍的搜索网站,版权归原作者所有! 粤ICP备11031372号
1999-2046 搜珍网 All Rights Reserved.