作者: He, Xiaofei; Zhang, Chiyuan; Zhang, Lijun; 等.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 卷: 38 期: 5 页: 1009-1015 出版年: MAY 2016
We consider the problem of image representation from the perspective of statistical design. Unlike traditional approaches, we propose a novel dimensionality reduction algorithm called A-Optimal Projection (AOP) which is based on a linear regression model. Specifically, AOP finds the optimal basis functions so that the expected prediction error of the regression model can be minimized if the new representations are used for training the model. Experimental results suggest that the proposed approach provides a better representation and achieves higher accuracy in image retrieval.