图 书 馆
在线动态HMM分割A Dynamic HMM for Online Segmentation |
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| 课程网址: | http://videolectures.net/nipsworkshops09_kohlmorgen_dhmmos/ |
| 主讲教师: | Jens Kohlmorgen |
| 开课单位: | 弗劳恩霍夫智能分析与信息系统研究所 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a novel method for the analysis of sequential data that exhibits an inherent mode switching. In particular, the data might be a non-stationary time series from a dynamical system that switches between multiple operating modes. Unlike other approaches, our method processes the data incrementally and without any training of internal parameters. We use an HMM with a dynamically changing number of states and an on-line variant of the Viterbi algorithm that performs an unsupervised segmentation and classification of the data on-the-y, i.e. the method is able to process incoming data in real-time. The main idea of the approach is to track and segment changes of the probability density of the data in a sliding window on the incoming data stream. The usefulness of the algorithm is demonstrated by an application to a switching dynamical system. |
| 关 键 词: | HMM动态变化; 数据流; 概率密度 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-29：yumf |
| 阅读次数: | 72 |