文件名称:PCANet_demo_pyramid
介绍说明－－下载内容均来自于网络，请自行研究使用
PCANet是一个基于CNN的简化Deep Learning模型。能够有效处理相对小型的数据集。来源于文献Chan T H, Jia K, Gao S, et al. PCANet: A simple deep learning baseline for image classification?[J]. IEEE Transactions on Image Processing, 2015, 24(12): 5017-5032.(PCANet is a simplified Deep Learning model based on CNN. It can effectively handle relatively small data sets. Reference: Chan T, H, Gao, S, et, al., PCANet:, A, simple, deep, learning, baseline, for, image, classification,, [J]., IEEE,, Transactions, on, Image, Processing, Jia, K, 5017-5032., 2015, and (a):)
相关搜索： pcanet
(系统自动生成,下载前可以参看下载内容)
下载文件列表
cifar-10-batches-mat
Demo_cifar10.m
Demo_feret.m
Demo_mnist_basic.m
HashingHist.m
Liblinear
Liblinear\libsvmread.c
Liblinear\libsvmread.mexa64
Liblinear\libsvmread.mexw64
Liblinear\libsvmwrite.c
Liblinear\libsvmwrite.mexa64
Liblinear\libsvmwrite.mexw64
Liblinear\linear_model_matlab.c
Liblinear\linear_model_matlab.h
Liblinear\make.m
Liblinear\Makefile
Liblinear\predict.c
Liblinear\predict.mexa64
Liblinear\predict.mexw64
Liblinear\README
Liblinear\train.c
Liblinear\train.mexa64
Liblinear\train.mexw64
mat
mat\PCANet_2_filters_MultiPIE_FaceRecog.mat
MNISTdata
MNISTdata\mnist_basic.mat
PCANet_FeaExt.m
PCANet_train.m
PCA_FilterBank.m
PCA_output.m
TIP_PCANet.pdf
Utils
Utils\dist_cosine.m
Utils\fsvd.m
Utils\im2colstep.c
Utils\im2colstep.m
Utils\im2colstep.mexa64
Utils\im2colstep.mexw64
Utils\im2col_general.m
Utils\im2col_mean_removal.m
Utils\make.m
Utils\mat2imgcell.m
Demo_cifar10.m
Demo_feret.m
Demo_mnist_basic.m
HashingHist.m
Liblinear
Liblinear\libsvmread.c
Liblinear\libsvmread.mexa64
Liblinear\libsvmread.mexw64
Liblinear\libsvmwrite.c
Liblinear\libsvmwrite.mexa64
Liblinear\libsvmwrite.mexw64
Liblinear\linear_model_matlab.c
Liblinear\linear_model_matlab.h
Liblinear\make.m
Liblinear\Makefile
Liblinear\predict.c
Liblinear\predict.mexa64
Liblinear\predict.mexw64
Liblinear\README
Liblinear\train.c
Liblinear\train.mexa64
Liblinear\train.mexw64
mat
mat\PCANet_2_filters_MultiPIE_FaceRecog.mat
MNISTdata
MNISTdata\mnist_basic.mat
PCANet_FeaExt.m
PCANet_train.m
PCA_FilterBank.m
PCA_output.m
TIP_PCANet.pdf
Utils
Utils\dist_cosine.m
Utils\fsvd.m
Utils\im2colstep.c
Utils\im2colstep.m
Utils\im2colstep.mexa64
Utils\im2colstep.mexw64
Utils\im2col_general.m
Utils\im2col_mean_removal.m
Utils\make.m
Utils\mat2imgcell.m