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学术信息
SEMINARS
Modeling high-dimensional time series
时间  Datetime
2018-05-28 16:00 — 17:00 
地点  Venue
Middle Lecture Room
报告人  Speaker
Shi Xiaoping
单位  Affiliation
Department of Mathematics and Statistics, Thompson Rivers University
邀请人  Host
Cheng Wang
报告摘要  Abstract

Modeling high-dimensional time series is necessary in many fields such as neuroscience, signal processing, network evolution, text analysis, and image analysis. Such a time series may contain unknown multiple change-points. For example, the time of cell divisions can be accessed using an automatic embryo monitoring system by a time-lapse observation. When a cell divides at some time point, the distribution of pixel values in the corresponding frame will change, and hence the detection of cell divisions can be formulated as a multiple change-point problem. In this talk, a powerful graph-based change-point detection is introduced.