Query filtering with low-dimensional local embeddings
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 267881952
- Type
- E - Conference contribution
- DOI
-
10.1007/978-3-030-32047-8_21
- Title of conference / published proceedings
- Similarity Search and Applications : 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2–4, 2019, Proceedings
- First page
- 233
- Volume
- 11807 LNCS
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Compliant
- Month of publication
- September
- 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
-
2
- Research group(s)
-
B - Systems
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article combines Chavez's “extreme pivoting” technique developed at CICESE, Ensenada, Mexico with our own four-point property to give a very fast pre-search linear filter over metric search spaces. An invitation to submit an extended version of this conference paper to the Information Systems journal resulted from a Programme Committee rating as one of the top five papers of the conference. Submitted in May 2020, favourable reviewer comments were received in November 2020 and its resubmission is in progress.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
