星座与图的无监督学习][Constellations and the Unsupervised Learning of Graphs]

星座与图的无监督学习 Constellations and the Unsupervised Learning of Graphs


课程网址:	http://videolectures.net/gbr07_escolano_culg/
主讲教师:	Francisco Escolano
开课单位:	阿利坎特大学
开课时间:	2007-07-12
课程语种:	英语
中文简介:	本文提出了一种新的基于星座方法的无监督图聚类方法。该方法是一种基于图形变换的快速匹配，建立典型图形的EM中心聚类算法。我们的实验，无论是在随机图还是在实际情况下（视觉定位），都表明我们的原型改进了集合中值图，也改进了从我们以前的增量方法派生的原型。我们还讨论了该方法如何随着图像数量的增加而扩展。
课程简介:	In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an EM central clustering algorithm which builds prototypical graphs on the basis of fast matching with graph transformations. Our experiments, both with random graphs and in realistic situations (visual localization), show that our prototypes improve the set median graphs and also the prototypes derived from our previous incremental method. We also discuss how the method scales with a growing number of images.
关键词:	无监督聚类图; 聚类算法; 增量方法
课程来源:	视频讲座网
最后编审:	2019-12-08：lxf
阅读次数:	24

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