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Output details

15 - General Engineering

University of Lincoln

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Output 11 of 35 in the submission
Article title

Biologically-inspired means for rank-order encoding images: a quantitative analysis

Type
D - Journal article
Title of journal
IEEE Transactions on Neural Networks
Article number
-
Volume number
21
Issue number
7
First page of article
1087
ISSN of journal
1045-9227
Year of publication
2010
Number of additional authors
1
Additional information
-
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-