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integral_imaging.rar
- 该程序基于三维显示中的全景图象原理。可以生成许多子图,The program based on the three-dimensional display of the panoramic image principle. Can generate many subgraph
mintree
- 一个有 n 个结点的连通图的生成树是原图的极小连通子图，且包含原图中的所有 n 个结点，并且有保持图联通的最少的边。-An n-node connected graph of the minimal spanning tree is the original connected subgraph, and contains all the n original nodes, and there are plans to maintain at least the edge of Unicom.
vflib2
- 这个软件包是一个graph isomorphism算法库，主要包含VF2算法。-VFLib: graph matching library -------------------------------------------------------------------------------- The ARG Database is a huge collection of labeled and unlabeled graphs realized by the Intell
ksubgraph
- 稠密k子图算法设计与实现，共i共分为三个算法。-Algorithm Design and Implementation of the dense k subgraph
waveedge
- 利用小波模极大值进行边缘检测。不同尺度子图均可见。效果非常好，胜于sobel等传统边缘检测算法！-Wavelet modulus maxima edge detection. Different scales subgraph are visible. The effect is very good, better than the sobel and other traditional edge detection algorithm!
VfLibV4
- 子图同构 代码源代码实现了VF图像的同构(Isomorphism)算法。同时还有一些其他的Wrapper程序，用来把这个库运用到其他语言如Python。整个代码实现于C#，同时提供C++的库。-Subgraph isomorphism (Isomorphism) algorithm VF image with the structure code source code. As well as some other Wrapper program to the library applied t
Gaussian-pyramids
- 图像高斯金字塔子图提取源代码，可以提取不同尺度的高斯金字塔子图用于进一步分析处理-Image Gaussian pyramid subgraph extract the source code can be extracted at different scales Gaussian pyramid subgraph for further analysis and processing
newfile5
- 【例6.4-1】本例演示：pcolor , contour, contourf的调用格式；等位线标高指令 clabel 的配合使用和区别；colorbar在用户指定位置上创建着色标尺；subplot子图位置的控制；图形窗背景底色的设置。（图6.4-1）-Example 6.4-1 This example demonstrates: pcolor, contour, contourf' s call format the bit line elevation instruction cl
image-mouse-click
- 实现了点击大型遥感图片或其他大型图片的时候能够准确定位到这一点并将这一点附近的像素在子图中显示出来，这样便于更清晰的对图实现观察。-Click large remote sensing images or other large pictures can accurately locate the pixels near it and it is displayed in the subgraph This makes it easy to achieve clearer Figure obse
FFSM
- This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package