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ZKL_classifier_final

于 2020-02-27 发布

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下载积分: 1 下载次数: 12

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代码说明：

说明：基于高光谱数据集PaviaU的数据降维与分类,基于核函数的主成分分析kpca测试(Dimension reduction and classification based on hyperspectral data set paviau, KPCA test based on kernel function principal component analysis)

文件列表：

ZKL_classifier_final\cnnapplygrads.m, 640 , 2018-08-01
ZKL_classifier_final\cnnbp.m, 2150 , 2017-07-05
ZKL_classifier_final\cnnff.m, 2497 , 2018-08-01
ZKL_classifier_final\cnnnumgradcheck.m, 3430 , 2014-05-11
ZKL_classifier_final\cnnsetup.m, 2574 , 2018-08-01
ZKL_classifier_final\cnntest.m, 193 , 2014-05-11
ZKL_classifier_final\cnntrain.m, 1356 , 2018-08-01
ZKL_classifier_final\cnn_start.m, 1175 , 2018-08-02
ZKL_classifier_final\cnn_test.m, 2565 , 2018-08-02
ZKL_classifier_final\data_lda_done.m, 417 , 2018-08-05
ZKL_classifier_final\data_pca_done.m, 686 , 2018-08-05
ZKL_classifier_final\data_undone.m, 137 , 2018-08-04
ZKL_classifier_final\expand.m, 2009 , 2017-07-05
ZKL_classifier_final\flipall.m, 86 , 2017-07-05
ZKL_classifier_final\getpixel.m, 613 , 2018-07-31
ZKL_classifier_final\KNN.m, 1139 , 2018-08-03
ZKL_classifier_final\knn_hughes_test.m, 2159 , 2018-08-05
ZKL_classifier_final\knn_test.m, 2159 , 2018-08-05
ZKL_classifier_final\kpcaFordata.m, 3090 , 2018-08-04
ZKL_classifier_final\kpca_test.m, 2025 , 2018-08-04
ZKL_classifier_final\lda.m, 3055 , 2018-08-04
ZKL_classifier_final\lda_test.m, 2246 , 2018-08-04
ZKL_classifier_final\main_cnn_untrain.m, 2168 , 2018-08-02
ZKL_classifier_final\main_final.m, 7499 , 2018-08-05
ZKL_classifier_final\PaviaU_gt.mat, 11005 , 2017-06-25
ZKL_classifier_final\PCA2.m, 2385 , 2018-08-03
ZKL_classifier_final\pca_test.m, 3421 , 2018-08-03
ZKL_classifier_final\sigm.m, 54 , 2017-07-05
ZKL_classifier_final\test_x.mat, 255321 , 2017-07-06
ZKL_classifier_final\test_y.mat, 250 , 2017-07-06
ZKL_classifier_final\trainednet.mat, 789979 , 2017-07-06
ZKL_classifier_final\train_x.mat, 1266538 , 2017-07-06
ZKL_classifier_final\train_y.mat, 428 , 2017-07-06
ZKL_classifier_final\zjtest.m, 132 , 2019-12-18
ZKL_classifier_final\程序说明.txt, 401 , 2018-08-05
ZKL_classifier_final, 0 , 2020-02-27

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tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号(The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, through the development of signal sparsity, in conditions far less than the Nyquist sampling rate, using random sampling for discrete samples of the signal, and then through the non-linear reconstruction algorithm perfect reconstructed signal)

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说明：计算视频或者图像中相邻两帧的光流场。本光流场算法使用是多项式展开的方法配置好视频的路径之后，直接运行就可以了。(Calculation of video or image of two adjacent optical flow field. The optical flow algorithm using the polynomial method is a good video of the path configuration, the direct operation of it.)

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Retinex算法对较暗区域的图像处理有明显效果,改进的Retinex方法则是基于经典Retinex,对具有较高亮度的遥感图像通过图像变换方法达到去除模糊的目的。 (Retinex algorithm for image processing on the dark region was effective to improve the Retinex method is based on the classic Retinex, on remote sensing images with high brightness achieved by an image transformation method aims to remove ambiguity.)

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积分：1
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帧间差分法
说明：带一个视频。路径要选择好才能运行，选择解压的此文件的路径。对运动视频的检测返回一对坐标和大小，可识别运动物体。(The detection of moving video returns a pair of coordinates and sizes, which can identify moving objects.)

2020-04-27 20:31:48下载

积分：1

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