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To improve the performance of secondary structure prediction, a multi-SVM ensemble was applied, bagging was used to resample the training dataset. The SVM ensemble was made of two-layer, one is composed by three SVM network decided by winner-take-all, the other is a ensemble network composed of five classifier decided by majority voting. Seven-fold(More)
—Although photogrammetry has long been used as the primary method to produce digital elevation models (DEMs), there are still some locations that are not covered by multiangle images because of various limitations. Moreover, traditional interpolation methods for producing denser DEMs often cause oversmoothing, particularly over rough terrain. To formulate a(More)
Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. In this paper, a new intelligent intrusion detection system has been proposed using SVM ensemble. The ensemble was made of two-layer, one is(More)
Camera sensor network (CSN) is widely used in many new applications. But low quality images or videos obtained by cheap surveillance cameras are a bottleneck for the development of CSN. A new motion-based blind super-resolution algorithm is proposed to improve the resolution of acquired image. In this method, improved projection transformation is adopted to(More)