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In this paper, we propose a novel framework for face recognition based on manifold ranking algorithm and PCA algorithm. First, manifold ranking algorithm is used to explore the relationship among all the data points in the feature space, and then constructs a weighted graph with respect to the intrinsic manifold structure collectively revealed by all the space data. So the images can be measured and...
The dimensionality of face image is high very much. It has a lot of difficulty in face recognition. In this paper, first, the concepts of polynomial fuzzy matching based on four rulers (two point rulers and two slope rulers) are introduced. It is not practical because all the slopes mf must be given at the beginning. It is presented that the fuzzy matching for a nonlinear function between input and...
The dimensionality of face image is high very much. It has a lot of difficulty in face recognition. In this paper, first, the nonlinear dimensionality reduction algorithm Isomap is applied in face image. On this basis, the concepts of vector membership function and membership degree in fuzzy mathematics are introduced, it is presented that the fuzzy matching for a nonlinear function between input...
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