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This paper addresses the problem of lossy compression for hyperspectral images and presents an efficient compression algorithm based on FastICA. Firstly, an efficient algorithm for segmentation of hyperspectral images is proposed. Secondly, based on the targets, a lossy compression based on ROI (Region of Interest) is proposed for hyperspectral compression, which employs KLT(Karhunen-Loève transform)...
This work is focused on acoustic emission characteristics measurement based on monitoring systems of PCI-2 on a rotating test-bed. The AE signals parameters such as amplitude, rising time, energy, the average frequency and et al were measured when different AE signals spread in the various paths. The common used AE signals are created by metal impact, the pencil lead breaks and friction. The relationship...
AdaBoost has been the representation of ensemble learning algorithm because of its excellent performance. However, due to its longtime training, AdaBoost was complained about by people and this defect limits the practical application. Bagging is a rapid method of training and supports for parallel computing. One of important factors that can affect the performance of ensemble learning is the diversity...
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