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卷积特征可视化

于 2019-03-06 发布
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下载积分: 1 下载次数: 19

代码说明:

说明:  利用卷积神经网络进行特征提取,并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

文件列表:

卷积特征可视化, 0 , 2019-02-25
卷积特征可视化\MNIST_data, 0 , 2019-01-10
卷积特征可视化\MNIST_data\t10k-images-idx3-ubyte.gz, 1648877 , 2018-12-22
卷积特征可视化\MNIST_data\t10k-labels-idx1-ubyte.gz, 4542 , 2018-12-22
卷积特征可视化\MNIST_data\train-images-idx3-ubyte.gz, 9912422 , 2018-12-22
卷积特征可视化\MNIST_data\train-labels-idx1-ubyte.gz, 28881 , 2018-12-22
卷积特征可视化\a.jpg, 107420 , 2012-06-19
卷积特征可视化\b.jpg, 76734 , 2019-01-10
卷积特征可视化\feature_map.png, 25648 , 2019-01-10
卷积特征可视化\feature_map_sum.png, 12027 , 2019-01-10
卷积特征可视化\visible1.py, 9225 , 2019-01-08
卷积特征可视化\visible2.py, 2277 , 2019-01-10
卷积特征可视化\卷积神经网络CNN卷积特征的可视化.doc, 399360 , 2019-01-09

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    一个外国人写的基于分割的立体匹配算法代码,可以在matlab7.1以后版本中直接执行,代码结构也很清晰,适合分析学习(Written by a foreigner based on the partition of the three-dimensional matching algorithm code, you can later matlab7.1 direct the implementation of the code structure is very clear and suitable for analysis of learning)
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    积分:1
  • RX
    说明:  此算法使用于单波段或者多波段图像中的非监督异常检测,性能很好~(The algorithm used in single-band or multi-band image unsupervised anomaly detection, performance very good ~)
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    本代码主要是harris角点提取,ncc算法进行粗匹配,然后ransac算法剔除误匹配点(harris ncc ransac)
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    积分:1
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    李春明 Distance Regularized Level Set Evolution and Its Application to Image Segmentation对应的分割 程序(Corresponding segmentation procedures by the the Chunming Distance Regularized the Level Set Evolution and Its Application to the Image Segmentation.)
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