Abstract：The maximum margin criterion (MMC) aims at maximizing the inter-class scatter and minimizing the intra-class scatter simultaneously after the projection to overcome the small sample size problem. A feature extraction method is proposed. Compared with the original MMC method, the proposed method can manifold local structure information better by multiplying the defined weight and regulating the parameter. The experimental results on ORL face database ,YALE database and UMIST database show that the proposed method is robust to illumination and pose, and it improves the recognition rate and recognizes the face images efficiently.
王超，王士同. 有局部保持的最大间距准则特征提取方法*[J]. 模式识别与人工智能, 2009, 22(6): 898-902.
WANG Chao, WANG Shi-Tong. Feature Extraction Method on Maximum Margin Criterion with Locality Preserving. , 2009, 22(6): 898-902.
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2009, Vol. 22 
