图 书 馆
流形切线分级机Manifold Tangent Classifier |
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| 课程网址: | http://videolectures.net/nips2011_dauphin_manifold/ |
| 主讲教师: | Yann Dauphin |
| 开课单位: | 蒙特利尔大学 |
| 开课时间: | 2012-01-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We combine three important ideas present in previous work for building classifiers: the semi-supervised hypothesis (the input distribution contains information about the classifier), the unsupervised manifold hypothesis (data density concentrates near low-dimensional manifolds), and the manifold hypothesis for classification (different classes correspond to disjoint manifolds separated by low density). We exploit a new algorithm for capturing manifold structure (high-order contractive autoencoders) and we show how it builds a topological atlas of charts, each chart being characterized by the principal singular vectors of the Jacobian of a representation mapping. This representation learning algorithm can be stacked to yield a deep architecture, and we combine it with a domain knowledge-free version of the TangentProp algorithm to encourage the classifier to be insensitive to local directions changes along the manifold. Record-breaking results are obtained and we find that the learned tangent directions are very meaningful. |
| 关 键 词: | 半监督假设; 捕获流形结构; 拓扑图集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-26：cwx |
| 阅读次数: | 30 |