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Titlebook: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery; Volume 2 Yong Liu,Lipo Wang,Zhengtao Yu Conference proceedings 2020

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https://doi.org/10.1007/978-0-85729-835-5l sample problem in the matching recognition stage, a novel Bayesian face recognition approach based on feature fusion is proposed. In the feature extraction stage, the global non-linear feature is extracted by kernel principal component analysis (KPCA), and the local manifold structure information
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https://doi.org/10.1007/978-3-031-41837-2d the collaborating partition matrixes (called knowledge) in the objective function. Given a partition matrix of a dataset, the matrix obtained by exchanging its rows arbitrarily is also a partition matrix of the dataset. These partition matrices are the same except the orders of the rows, thus they
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https://doi.org/10.1007/978-3-031-41837-2d with sampling, .-means algorithm and agglomerative hierarchical method is proposed to analyze users’ behavior and classify users’ access objectives and habits, which can not only make clustering results more stable, but also enhance the analysis efficiency of the algorithm.
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Commercialization of Health Careg data platform. However, with the advent of the era of knowledge sharing 3.0, the knowledge value awareness of knowledge owners has generally increased, and it has become increasingly difficult to concentrate knowledge on centralized big data platforms. Blockchain technology is a decentralized and
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