搜索资源列表
Grapth
- 这是C++图算法第五版中的源代码，对于学习图是很好的，可以学到很多知识。-This is the fifth edition of C++ graph algorithm in the source code is good for the learning plan, you can learn a lot of knowledge.
CPP_Algorithms_sorcecde1-4
- C++图算法第１至第４部分源代码，这本书是Robert Sedgewick写的，代码是C++格式的，对于学习图算法是非常好的。-C++ graph algorithm 1 to 4 parts of the source code, this book is written in Robert Sedgewick, the code is C++ format, graph algorithm for learning is very good.
graphtheory
- 图论是一门非常有意思的学问，著名的七桥问题就是图论的重要问题。本资源，介绍了图论的相关背景和基本的算法，对于刚入门的学者来说，是一个很好的指引。-Graph theory is a very interesting learning, the famous Seven Bridges of graph theory is an important issue. This resource describes the relevant background on graph theory and
specgraph-PPT
- 文章是外文的，一篇很好的介绍谱图理论的文章，值得学习-Article is a foreign language, a good introduction to spectral graph theory article, worth learning
bmp-transformation
- 自己编写的bmp位图结构转换算法，主要是围绕真彩色，伪彩色，灰度图，二值图之间的位图结构转换而写的算法，因为当初只是用于学习，所以程序运行中有一些内存泄露问题没有解决，但算法本身没有问题,可正确运行。-I have written bmp bitmap structure conversion algorithm, mainly around the true color, false color, grayscale, binary bitmap structure between graph
graph-cuts
- 学习graph cuts的必读papers。-Learning graph cuts-read papers.
GrTheory
- matlab代码，图论很好的学习资料。实现图论中的各种功能。-matlab code, graph theory, a good learning materials. To achieve the various functions in graph theory.
graph-cut-papers
- 图割英文文章10篇，近期发表。学习图割的人非常有用！-Ten graph cut English articles recently published. People learning graph cut are very useful!
SILK-GC_GPU
- 在基于核的在线学习方法的基础上加入了图切割技术，用于背景建模和前景提取。-The kernel-based online learning method based on graph cut technique for background modeling and the prospects for extraction.
MinCut
- 实现最小割，基于图的图像分割算法，学习必备。-Minimum cut graph-based image segmentation algorithm, learning essential.
max_min_segment
- 最大流/最小割方法。为学习图像处理中的图割算法做准备，算法思想是Ford-Fulkerson方法。最大流是一个有向图，最小割就是网络中所有割中值最小的那个割。 -Maximum flow/minimum cut method. As a learning image processing to prepare graph cut algorithm, the algorithm idea is Ford-Fulkerson method.
@lgcz
- 基于图的半监督学习算法，matlab代码-Semi-supervised learning algorithm based on graph, matlab code. . . .
graph-cut
- 几篇关于graph cut的经典文献，想学习graph cut可以看看这几篇文献，其中也包括了基于graph cut的肝脏分割文献，有助于学习医学图像分割-Several classic literature on graph cut, if you want to learn a few graph cutthat can look at this documents, it also includs the liver based on graph cut segmentation lit
1DeepLearnToolbox-master
- 深度学习matlab工具箱，已经测试通过的源码，可以应用在图像识别、模式识别、语音识别等领域-Deep learning matlab source code, which can be applied in graph identification, pattern recognition and sound recognition
LEM-Algorithm
- LEM（拉普拉斯特征映射）算法，拉普拉斯特征映射是基于局部邻域，保持局部结构的流形学习方法。LEM通过一个无向加权图刻画流形上数据点间的近邻关系，图的顶点为原始数据点，图的边对应点之间的近邻关系，边的权值对应近邻点之间的相似程度（也可以是某种距离），LEM在低维嵌入空间中尽量保持图中数据点之间的近邻关系，然后求取嵌入坐标。通俗的说，LEM认为在高维数据空间离得近的点在低维嵌入空间也应该离得近-LEM (Laplace feature mapping) algorithm, Laplace fea
Hypergraph-theory-algorithm
- 超图理论算法的重要著作，介绍的很详细，欢迎大家交流学习。-Ultra graph theory algorithms important works, describes in great detail, we welcome the exchange of learning.
Spectral-Clustering-codeapaper
- 国外著名大牛的谱聚类像分图割方法源码和文章，对学习谱聚类算法很有帮助。-Spectral clustering famous stars like Daniel graph cut method source code and articles on learning spectral clustering helpful.
GoLPP
- D MANUSC Graph-optimized Locality Preserving Projections (GoLPP) algorithm [28]. GoLPP integrated the graph construction and a specific dimensionality reduction process (i.e. LPP) into a unified framework, which results in a simultaneous learni
graph
- 这是我们在学习数字图像处理过程中，对领域平均法和中值滤波的程序代码。(This is our learning digital image processing, the field average and median filtering the code)