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有向图的嵌入：基于拉普拉斯型算子的连续极限算法Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators |
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| 课程网址: | http://videolectures.net/nips2011_perrault_joncas_operators/ |
| 主讲教师: | Dominique Perrault-Joncas |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2012-09-06 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper considers the problem of embedding directed graphs in Euclidean space while retaining directional information. We model the observed graph as a sample from a manifold endowed with a vector field, and we design an algorithm that separates and recovers the features of this process: the geometry of the manifold, the data density and the vector field. The algorithm is motivated by our analysis of Laplacian-type operators and their continuous limit as generators of diffusions on a manifold. We illustrate the recovery algorithm on both artificially constructed and real data. |
| 关 键 词: | 计算机科学; 机器学习; 流形学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-02：毛岱琦(课程编辑志愿者) |
| 阅读次数: | 47 |