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Recent studies have shown that Gaussian process (GP) classification, a discriminative supervised learning approach, has achieved competitive performance in real applications compared with most state-of-the-art supervised learning methods. However, the problem of automatic model selection in GP classification, involving the kernel function form and the corresponding parameter values (which are unknown...
In this paper, a modified speculative thread partitioning method is presented. This method increases parallelization selection for procedure call and loop on the basis of the original method. It firstly selects those procedure calls which were not fit for parallelism before establishing WCFG(weighted control flow graph). Procedure calls selected must be inserted into the original serial program to...
The paper analyzes the characteristic features of hyper-spectral image and presents a compression of hyper-spectral images based on quadtree partitioning. Quadtree partition is used to get the mean image of the whole image and the significant correlation of image can be decorrelated by subtract the mean image from original image. The difference image is compressed by DCT and encoded with arithmetic...
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