Research on Image Feature Extraction Method Based on Orthogonal Projection Transformation of Multi-task Learning Technology
When the number of labeled training samples is very small,the sample information we can use would be very little.Because of this,the recognition rates of some traditional image recognition methods are not satisfactory.In order to use some related information that always exist in other databases,which is helpful to feature extraction and can improve the recognition rates,we apply multi-task learning to feature extraction of images.Our researches are based on transferring the projection transformation.Our experiments results on the public AR,FERET and CAS-PEAL databases demonstrate that the proposed approaches are more effective than the general related feature extraction methods in classification performance.
multi-task learning projection transformation feature extraction face recognition
Xiaoyuan Jing Li Li Cailing Wang Yongfang Yao Fengnan Yu
College of Automation,Nanjing University of Posts and Telecommunications,Nanjing,China;State Key Lab College of Automation,Nanjing University of Posts and Telecommunications,Nanjing,China
国际会议
杭州
英文
2902-2905
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）