图 书 馆
图形相似，I-分歧和熵流形对齐Graph Similarity, I-Divergences and Entropic Manifold Alignment |
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| 课程网址: | http://videolectures.net/ssspr2010_escolano_gsi/ |
| 主讲教师: | Francisco Escolano |
| 开课单位: | 阿利坎特大学 |
| 开课时间: | 2010-09-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper we cast the problem of graph matching as one of non-rigid manifold alignment. The low dimensional manifolds are from the commute time embedding and are matched though coherent point drift. Although there have been a number of attempts to realise graph matching in this way, in this paper we propose a novel information-theoretic measure of alignment, the so-called symmetrized normalized-entropy-square variation. We succesfully test this dissimilarity measure between manifolds on a a challenging database. The measure is estimated by means of the bypass Leonenko entropy functional. In addition we prove that the proposed measure induces a positive definite kernel between the probability density functions associated with the manifolds and hence between graphs after deformation. |
| 关 键 词: | 计算机科学; 模式识别; 人工智能科学系 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-20：zyk |
| 阅读次数: | 61 |