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eemd_example
说明： eemd example for python
- 2020-06-16 12:40:02下载
- 积分：1
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纹理特征提取
采用gabor算法，灰度共生矩阵、灰度梯度共生矩阵提取图像纹理信息(Using Gabor algorithm, gray level co-occurrence matrix and gray level gradient co-occurrence matrix to extract image texture information)
- 2020-11-05 17:49:50下载
- 积分：1
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Unet-master2
CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)
- 2019-04-19 19:16:29下载
- 积分：1
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PyChat
基于Socket的简单局域网聊天程序，使用Python编写(Socket Chat)
- 2016-05-14 22:51:34下载
- 积分：1
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sklearn-SVM-master
说明： 股票价格预测，支持向量机回归预测，核函数，(svm for stock price forcast)
- 2020-04-11 08:36:52下载
- 积分：1
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模糊C均值对sonar数据分类
采用模糊 C 均值法，通过对 sonar、iris 数据进行无监督分类。
模糊 C 均值算法
C 均值（HCM）：把 N 个样本{
- 2022-05-18 13:32:42下载
- 积分：1
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download_ERA_interim
批量下载ERA interim数据资料的方法(download ERA interim in batch)
- 2021-01-21 19:18:40下载
- 积分：1
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LSTM-Human-Activity-Recognition
基于LSTM-RNN的人类行为预测的代码，基于tensorflow(Human behavior prediction code based on LSTM-RNN(tensorflow))
- 2021-03-08 16:59:28下载
- 积分：1
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grab cut
This is the implementation for the following paper:[Learning Sparse Gaussian Graphical Models with Overlapping Blocks](http://papers.nips.cc/paper/6097-learning-sparse-gaussian-graphical-models-with-overlapping-blocks.pdf), Mohammad Javad Hosseini and Su-In Lee. Neural Information Processing Systems (NIPS), 2016.### Running#### SoftwareYou should have R and the R package quic installed on your machine. The file main.py shows an example and will get you started. It uses MILE data (AMLcancer dataset) as input. We have selected 500 genes, consisting of 488 highest varying genes in MILE and 12 genes highly associated with AML:FLT3, NPM1, CEBPA, KIT, N-RAS, MLL, WT1, IDH1/2, TET2, DNMT3A, and ASXL1. Please see data/genes.mat.
- 2022-06-15 01:02:04下载
- 积分：1
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MapMatching-master
该代码实现将基本的地图匹配功能,讲GPS获取到的数据与路网匹配，并将偏移道路的数据拉回道路上(this python code complet function that map matching)
- 2021-04-19 10:18:52下载
- 积分：1
