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Showing 1 to 1 of 1 for “"kernel mean embedding"”.

  1. Nonparametric Anomaly Detection and Secure Communication

    … generating typical samples. For both problems, kernel-based tests are proposed, which are based on maximum mean discrepancy (MMD) that measures the distance between mean embeddings of distributions into a reproducing kernel Hilbert space. These tests are nonparametric without exploiting the …

    syracuse-diss Repository record for Nonparametric Anomaly Detection and Secure Communication (opens in a new tab)