Machine learning methods for behaviour analysis and anomaly detection in video. (2018)
- Record Type:
- Book
- Title:
- Machine learning methods for behaviour analysis and anomaly detection in video. (2018)
- Main Title:
- Machine learning methods for behaviour analysis and anomaly detection in video
- Further Information:
- Note: Olga Isupova.
- Authors:
- Isupova, Olga
- Contents:
- Introduction -- Background -- Proposed Learning Algorithms for Markov Clustering Topic Model -- Dynamic Hierarchical Dirlchlet Process -- Change Point Detection with Gaussian Processes -- Conclusions and Future Work.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xxv, 126 pages), illustrations (some color)
- Subjects:
- 006.3/1
Engineering
Machine learning
Anomaly detection (Computer security)
COMPUTERS -- General
Anomaly detection (Computer security)
Machine learning
Computers -- Computer Graphics
Computers -- Intelligence (AI) & Semantics
Image processing
Artificial intelligence
Computer vision
Artificial intelligence
Technology & Engineering -- Electronics -- General
Imaging systems & technology
Electronic books - Languages:
- English
- ISBNs:
- 9783319755083
3319755080 - Related ISBNs:
- 9783319755076
3319755072 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed February 27, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.367176
- Ingest File:
- 01_343.xml