An oil painters recognition method based on cluster multiple kernel learning algorithm
- Submitting institution
-
Glasgow Caledonian University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 33293525
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2019.2899389
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 26842
- Volume
- 7
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a novel and rapid Cluster Multiple Kernel Learning algorithm to recognize oil painters. The work led to the development of a mobile application for oil painter recognition and formed the basis for a continuing international collaboration between GCU and Central South University, China, (CSU). The work also resulted in an invited presentation to CSU.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -