TY - GEN
T1 - Multi-class graph boosting with subgraph sharing for object recognition
AU - Zhang, Bang
AU - Ye, Getian
AU - Wang, Yang
AU - Wang, Wei
AU - Xu, Jie
AU - Herman, Gunawan
AU - Yang, Jun
PY - 2010
Y1 - 2010
N2 - In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base classifier, and utilizes popular error correcting output code scheme to solve multi-class problem. Both factors, base classifier and error-correcting coding matrix are considered simultaneously. And subgragphs, which are shareable by different classes, are wisely used to improve the classification performance. The experimental results on multi-class object recognition show the effectiveness of the proposed algorithm.
AB - In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base classifier, and utilizes popular error correcting output code scheme to solve multi-class problem. Both factors, base classifier and error-correcting coding matrix are considered simultaneously. And subgragphs, which are shareable by different classes, are wisely used to improve the classification performance. The experimental results on multi-class object recognition show the effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=78149471648&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2010.381
DO - 10.1109/ICPR.2010.381
M3 - Conference Paper published in a book
AN - SCOPUS:78149471648
SN - 9780769541099
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1541
EP - 1544
BT - Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
T2 - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Y2 - 23 August 2010 through 26 August 2010
ER -