The effect of the inhibition-compensation learning scheme on n-tuple based classifier performance
The effect of the inhibition-compensation learning scheme on n-tuple based classifier performance
The inhibition-compensation learning scheme (ICLS) has been proposed as a way of enhancing the performance of the moving window classifier. In the paper the effect of ICLS on three n-tuple based classification techniques has been investigated. Pre-segmented handwritten characters from the NIST database have been used as the pattern data. Results show that approximately 2-6% gain in classification accuracy can be achieved in the OCR task domain with no adverse effect on the classification throughput.
452-455
Hoque, S.
c4ec248a-b930-483c-8175-3430960459b1
Fairhurst, M.C.
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Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Hoque, S.
c4ec248a-b930-483c-8175-3430960459b1
Fairhurst, M.C.
6a82d154-93fe-4657-bcee-934d5c888192
Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Hoque, S., Fairhurst, M.C. and Guest, R.M.
(2002)
The effect of the inhibition-compensation learning scheme on n-tuple based classifier performance.
In 2002 International Conference on Pattern Recognition.
IEEE.
.
(doi:10.1109/ICPR.2002.1047974).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The inhibition-compensation learning scheme (ICLS) has been proposed as a way of enhancing the performance of the moving window classifier. In the paper the effect of ICLS on three n-tuple based classification techniques has been investigated. Pre-segmented handwritten characters from the NIST database have been used as the pattern data. Results show that approximately 2-6% gain in classification accuracy can be achieved in the OCR task domain with no adverse effect on the classification throughput.
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e-pub ahead of print date: 10 December 2002
Venue - Dates:
International Conference on Pattern Recognition, , Quebec, Canada, 2002-08-11 - 2002-08-15
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Local EPrints ID: 489631
URI: http://eprints.soton.ac.uk/id/eprint/489631
PURE UUID: 7ad9af54-14e2-42a5-8cc2-6eab916d4681
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Date deposited: 30 Apr 2024 16:34
Last modified: 01 May 2024 02:10
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Author:
S. Hoque
Author:
M.C. Fairhurst
Author:
R.M. Guest
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