Adaptive Hash Retrieval with Kernel Based Similarity
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 66301275
- Type
- D - Journal article
- DOI
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10.1016/j.patcog.2017.03.020
- Title of journal
- Pattern Recognition
- Article number
- -
- First page
- 136
- Volume
- 75
- Issue
- -
- ISSN
- 0031-3203
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2017
- 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
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first work kernelising of hash retrieval. It is the result of a collaboration from the author's visiting appointment at Beihang University as Principal Investigator of the Beijing Advanced Innovation Centre in Big Data. The work delivers results which significantly exceed state-of-the art on a variety of real world datasets.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -