Generalized Visual Information Analysis Via Tensorial Algebra
- Submitting institution
-
Birkbeck College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 764
- Type
- D - Journal article
- DOI
-
10.1007/s10851-020-00946-9
- Title of journal
- Journal of Mathematical Imaging and Vision
- Article number
- -
- First page
- 560-584
- Volume
- 62
- Issue
- 4
- ISSN
- 0924-9907
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- URL
-
http://eprints.bbk.ac.uk/id/eprint/30735/
- 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
-
1
- Research group(s)
-
2 - Experimental Data Science
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is distinctive in that a wide range of tensor-based methods for data analysis are described in detail and tested experimentally.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -