Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002 |
| Pages | 151-156 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Dec 1 2002 |
| Event | 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002 - Ontario, ON, Canada Duration: Aug 6 2002 → Aug 8 2002 |
Publication series
| Name | Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR |
|---|---|
| ISSN (Print) | 1550-5235 |
Other
| Other | 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002 |
|---|---|
| Country | Canada |
| City | Ontario, ON |
| Period | 8/6/02 → 8/8/02 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
Cite this
A comparative study on mirror image learning and ALSM. / Wakabayashi, Tetsushi; Shi, Meng; Oyama, Wataru; Kimura, Fumitaka.
Proceedings - 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002. 2002. p. 151-156 1030901 (Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A comparative study on mirror image learning and ALSM
AU - Wakabayashi, Tetsushi
AU - Shi, Meng
AU - Oyama, Wataru
AU - Kimura, Fumitaka
PY - 2002/12/1
Y1 - 2002/12/1
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
UR - http://www.scopus.com/inward/citedby.url?scp=71249161793&partnerID=8YFLogxK
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
ER -