Pattern recognition : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings /: ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings. (2020)
- Record Type:
- Book
- Title:
- Pattern recognition : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings /: ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings. (2020)
- Main Title:
- Pattern recognition : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings
- Other Titles:
- ACPR 2019
- Further Information:
- Note: Michael Cree, Fay Huang, Junsong Yuan, Wei Qi Yan (eds.).
- Other Names:
- Cree, Michael J
Huang, Fay
Yuan, Junsong
Yan, Wei Qi
Asian Conference on Pattern Recognition - Contents:
- Computer Vision for Modern Vehicles -- Advances and Applications on Generative Deep Learning Models -- Image and Pattern Analysis for Multidisciplinary Computational Anatomy -- Multi-Sensor for Action and Gesture Recognition -- Towards an Automatic Data Processing Chain for Airborne and Spaceborne Sensors.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (280 pages)
- Subjects:
- 006.4
Pattern recognition systems -- Congresses
Computer vision -- Congresses
Signal processing -- Congresses
Computer vision
Pattern recognition systems
Signal processing
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9789811536519
9811536511 - Related ISBNs:
- 9789811536502
- Notes:
- Note: Print version record.
- 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.496493
- Ingest File:
- 03_063.xml