Abstract
In this paper, to solve the matching problem of elements in different sets, we proposed an improved metric method based on coupled metric learning. First, we improved the supervised locality preserving projection algorithm, and then the within-class and between-class information of this algorithm are added to the coupled metric learning, so an improved coupled metric learning method is proposed. This method can effectively extract the nonlinear feature information, and the operation is simple. The experiments based on two face databases show that, our proposed method can get higher recognition rate in low-resolution face recognition, and it can reduce the computing time; it is an effective metric method.
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Zou, G., Jiang, S., Zhang, Y., Fu, G., Wang, K. (2014). An Improved Coupled Metric Learning Method for Degraded Face Recognition. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_6
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DOI: https://doi.org/10.1007/978-3-642-54927-4_6
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