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The objective of this paper is to propose a new system for fault diagnosis of train bearings using PCA and ACO. On the base of the analysis of time and frequency domain statistical features extracted from the vibration signals collected from the bearings, twenty features which were the most sensitive to different working states were chosen as the object of follow-on process. After zero-average and...
JPEG format has become the most commonly used compressed format in the present digital image transmission and storage for its excellent compression performance, better image quality and flexible compression selection. This paper studies a JPEG general detector, analyzes various kinds of eigenvectors which are extracted from the image to be detected and used for classifier learning and detection and...
Face images could be projected onto a feature space that the variation among them can be expressed better. The face space is defined by the ldquoeigenfacesrdquo, which are the eigenvectors of the faces set; they do not necessarily correspond to the isolated features such as eyes, ears, and noses. Using eigenfaces decreases the huge amount of the required memory to save face database. In this paper...
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