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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for...
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| Müşterek Yazar: | |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
| Edisyon: | 1st ed. 2018. |
| Seri Bilgileri: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Konular: | |
| Online Erişim: | Full-text access |
İçindekiler:
- Introduction
- Background
- Proposed Learning Algorithms for Markov Clustering Topic Model
- Dynamic Hierarchical Dirlchlet Process
- Change Point Detection with Gaussian Processes
- Conclusions and Future Work.