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Imbalanced data existed widely in various fields. The classification problem of imbalanced data is a hot issue in machine learning. Existing algorithms on imbalanced data classification processed data without putting enough attention on the positive boundary samples which were prone to misclassification, and the cost that the positive samples were misclassified is much larger than the cost that the...
Port state control (PSC) inspection is the most important mechanism to ensure world marine safe. Recently, some SVM-based risk assessment systems have been presented in the world. They estimate the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. However, how to improve the performance of the...
This paper presents an approach to generate secure minutiae information in fingerprint templates. Using triplets of minutia points, useful geometrical properties can be derived from minutia triplets to hide their coordinates, direction of minutia, and scale. This non-invertible transform enables matching from the results in the anonymous domain to fight against malicious attacks to biometrics. The...
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