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The wide spread of mobile devices has also caused the explosive growth of malwares. Application behavior analysis is a popular technique to fight against malwares. However current app behavior analysis methods still have some limitations. For example, many popular dynamic analysis methods are built on Dalvik virtual machines. They cannot disclose the behavior of native code. VMI based methods can...
Without constructing adjacency graph for neighborhood, we propose a method to learn similarity among sample points of manifold in Laplacian embedding (LE) based on adding constraints of linear reconstruction and least absolute shrinkage and selection operator type minimization. Two algorithms and corresponding analyses are presented to learn similarity for mix-signed and nonnegative data respectively...
Recently, convolutional networks have achieved great successes in the field of computer vision. In order to improve the efficiency of convolutional networks, large amount of solutions focusing on training algorithms and parallelism strategies have been proposed. In this paper, a novel algorithm based on look-up table is proposed to speed up convolutional networks with small filters by applying GPU...
The paper presents Echo State Network (ESN) as classifier to diagnose the abnormalities in mammogram images. Abnormalities in mammograms can be of different types. An efficient system which can handle these abnormalities and draw correct diagnosis is vital. We experimented with wavelet and Local Energy based Shape Histogram (LESH) features combined with Echo State Network classifier. The suggested...
In this paper, we propose a new synthetic aperture radar (SAR) image segmentation scheme. Firstly, the SAR image is over-segmented using the mean shift (MS) algorithm while the original image discontinuity characteristics are preserved. Secondly, we propose a novel method to estimates the probability density function of each node on region adjacency graph (RAG) using kernel density estimation (KDE)...
As one of the fundamental courses in computing curriculum, the course construction of operating systems is important and difficult. In this paper, we pro-posed an innovative framework for teaching operating system with practical operating system which emphasizes on the effective combination of theoretical teaching and experimental teaching. What's more, the framework can be customized and tailored...
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