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Principal component analysis (PCA) is widely used to extract features and reduce dimensionality in various computer vision and image/video processing tasks. Conventional approaches either lack robustness to outliers and corrupted data or are designed for one-dimensional signals. To address this problem, we propose a robust PCA model for two-dimensional images incorporating structured sparse priors,...
In the reliability prediction of the product with long life and high reliability, the step stress accelerated degradation test (SSADT) is commonly applied. With the motivation of predicting the product reliability most precisely, the problem of optimizing the test plans has drawn a lot of attentions in the application of SSADT. In this paper, the drift Brownian motion is selected as the degradation...
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