图 书 馆
基于层次混合密度模型的多流形学习框架Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_wang_mmlf/ |
| 主讲教师: | Peter Tino, Xiaoxia Wang, Mark A. Fardal |
| 开课单位: | 伯明翰大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Several manifold learning techniques have been developed to learn, given a data, a single lower dimensional manifold providing a compact representation of the original data. However, for complex data sets containing multiple manifolds of possibly of different dimensionalities, it is unlikely that the existing manifold learning approaches can discover all the interesting lower-dimensional structures. We therefore introduce a hierarchical manifolds learning framework to discover a variety of the underlying low dimensional structures. The framework is based on hierarchical mixture latent variable model, in which each submodel is a latent variable model capturing a single manifold. We propose a novel multiple manifold approximation strategy used for the initialization of our hierarchical model.The technique is first verified on artificial data with mixed 1-, 2- and 3-dimensional structures. It is then used to automatically detect lower-dimensional structures in disrupted satellite galaxies. |
| 关 键 词: | 流形学习技术; 低维流形; 分层流形 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-23：lxf |
| 阅读次数: | 31 |