TY - GEN
T1 - A comparative study on mirror image learning and ALSM
AU - Wakabayashi, Tetsushi
AU - Shi, Meng
AU - Ohyama, Wataru
AU - Kimura, Fumitaka
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - In this paper, the effectiveness of a corrective learning algorithm MIL (mirror image learning) is comparatively studied with that of ALSM (average learning subspace method). Both MIL and ALSM were proposed to improve the learning effectiveness of class conditional distributions. While the ALSM modifies the basis vectors of a subspace by subtracting the autocorrelation matrix for counter classes from the one of its own class, the MIL generates a mirror image of a pattern which belongs to one of a pair of confusing classes to increases the size of the learning sample of the other class. The performance of two algorithms is evaluated on handwritten numeral recognition test for IPTP CDROMI. Experimental results show that the recognition rate of the subspace method is improved from 99.05% to 99.37% by ALSM and to 99.39% by MIL, respectively. Furthermore, the recognition rate of the projection distance method is improved from 99.13% to 99.35% by ALSM and to 99.44% by MIL.
AB - In this paper, the effectiveness of a corrective learning algorithm MIL (mirror image learning) is comparatively studied with that of ALSM (average learning subspace method). Both MIL and ALSM were proposed to improve the learning effectiveness of class conditional distributions. While the ALSM modifies the basis vectors of a subspace by subtracting the autocorrelation matrix for counter classes from the one of its own class, the MIL generates a mirror image of a pattern which belongs to one of a pair of confusing classes to increases the size of the learning sample of the other class. The performance of two algorithms is evaluated on handwritten numeral recognition test for IPTP CDROMI. Experimental results show that the recognition rate of the subspace method is improved from 99.05% to 99.37% by ALSM and to 99.39% by MIL, respectively. Furthermore, the recognition rate of the projection distance method is improved from 99.13% to 99.35% by ALSM and to 99.44% by MIL.
UR - http://www.scopus.com/inward/record.url?scp=71249161793&partnerID=8YFLogxK
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U2 - 10.1109/IWFHR.2002.1030901
DO - 10.1109/IWFHR.2002.1030901
M3 - Conference contribution
AN - SCOPUS:71249161793
SN - 0769516920
SN - 9780769516929
T3 - Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
SP - 151
EP - 156
BT - Proceedings - 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002
T2 - 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002
Y2 - 6 August 2002 through 8 August 2002
ER -