Greenhow, Keith, Johnson, Colin G. (2015) Regioned Downsample for ANN Image Classification: Alternate Selection Methods. In: 2015 SAI Intelligent Systems Conference (IntelliSys). . pp. 793-797. IEEE, Red Hood, NY, USA ISBN 978-1-4673-7607-5. (doi:10.1109/IntelliSys.2015.7361231) (KAR id:70994)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/878kB) |
|
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: http://dx.doi.org/10.1109/IntelliSys.2015.7361231 |
Abstract
In an earlier paper, a novel method to pre-process image data for use in Artificial Neural-Network (ANN) classification was presented. This method requires an additional training stage prior to the main learning phase of the ANN. In this extra stage, an additional algorithm (a Selection method) is used to generate the data that is required to construct the final pre-processor. As part of the introduction of that method, it was presented with a single Selection method that was termed Saliency Heat Mapping. This paper will present a number of alternative Selection methods and compare how effective they are against a sample problem.
Item Type: | Conference or workshop item (Proceeding) |
---|---|
DOI/Identification number: | 10.1109/IntelliSys.2015.7361231 |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Colin Johnson |
Date Deposited: | 13 Dec 2018 10:01 UTC |
Last Modified: | 09 Dec 2022 06:33 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/70994 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):