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Gaussian Mixture Model (GMM) and its variations process images by per pixel, so they may be corrupted by noises and the computational cost is high. In this paper, we propose a robust moving object detection algorithm with a background dictionary learning. To do this, we first divide an image into multiple image patches that have the same sizes. Each patch is the object or background. Then, A background...
Privacy-preserving comparisons over encrypted database is a hot topic in the current academic research. Recently, Furukawa [7] introduced a new primitive called request-based comparable encryption (comparable encryption for short) to achieve this target. Howver, one disadvantage of comparable encryption is that huge of the token and cipher text are required in the scheme and thus the computation and...
The gene expression data are usually provided with a large number of genes and a relatively small number of samples, which brings a lot of new challenges. Selecting those informative genes becomes the main issue in microarray data analysis. Recursive cluster elimination based on support vector machine (SVM-RCE) has shown the better classification accuracy on some microarray data sets than recursive...
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