EchoVPR: Echo state networks for visual place recognition

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Ozdemir, A. orcid.org/0000-0003-0014-4699, Scerri, M. orcid.org/0000-0001-5740-037X, Barron, A.B. orcid.org/0000-0002-8135-6628 et al. (4 more authors) (2022) EchoVPR: Echo state networks for visual place recognition. IEEE Robotics and Automation Letters, 7 (2). pp. 4520-4527. ISSN 2377-3766

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Item Type: Article
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Keywords: Reservoirs; Computational modeling; Training; Task analysis; Visualization; Benchmark testing; Image recognition
Dates:
  • Published: April 2022
  • Published (online): 11 February 2022
  • Accepted: 20 January 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/P006094/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/S009647/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/S030964/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/V006339/1
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jun 2023 12:00
Last Modified: 05 Jan 2024 15:30
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/lra.2022.3150505
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