TY - GEN
T1 - Graph-incorporated active learning with SVM
AU - Jiang, Jun
AU - Ip, Horace H. S.
AU - Zhang, Guilin
PY - 2011/11
Y1 - 2011/11
N2 - Active learning is typically limited by the small sample problem which makes the resulting classifiers perform poorly, especially in the initial stages, To overcome this problem, in this paper, a novel framework - graph-incorporated active learning - is proposed, in which the selection pool is regarded as a graph. Its graph structure is applied to both improve sample selection criterion and provide the learner enough pseudo-labeled samples. By comparing with the state-of-the-art technique, the experiments on benchmark datasets show that the improvement of the proposed method is significant, i.e., it can solve the small problem well. The framework is combined with, but is not limited to, SVM.
AB - Active learning is typically limited by the small sample problem which makes the resulting classifiers perform poorly, especially in the initial stages, To overcome this problem, in this paper, a novel framework - graph-incorporated active learning - is proposed, in which the selection pool is regarded as a graph. Its graph structure is applied to both improve sample selection criterion and provide the learner enough pseudo-labeled samples. By comparing with the state-of-the-art technique, the experiments on benchmark datasets show that the improvement of the proposed method is significant, i.e., it can solve the small problem well. The framework is combined with, but is not limited to, SVM.
KW - Active learning
KW - Graph-based
KW - Semi-supervised learning
KW - Small sample problem
KW - SVM
UR - http://www.scopus.com/inward/record.url?scp=84255192130&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84255192130&origin=recordpage
U2 - 10.1117/12.902931
DO - 10.1117/12.902931
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780819485809
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - MIPPR 2011
T2 - 7th International Symposium on Multispectral Image Processing & Pattern Recognition (MIPPR 2011)
Y2 - 4 November 2011 through 6 November 2011
ER -