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A novel image recognition method based on the improved BDBN (Bilinear Deep Belief Network) model is presented, optimized with a MKL (Multiple Kernel Learning) strategy. All kernel functions in MKL are replaced by hierarchical feature representations, and the number of kernels is set to the number of layers of BDBN. The method is performed on the standard Caltech101 image dataset. The experiments show...
Aiming at the problem of the poor execution efficiency and coarse grain monitoring, a host security monitoring system is designed and implemented in this paper, which rewrites the system service scheduler with setting the hook function in the kernel and conducts the fine grain monitoring with setting the policy in the user layer. This system has advantages such as the good execution efficiency, the...
Rapid increase of information resources speeds the development of network storage. And security of network storage satisfies the demands of privacy and safety of the information. Data encryption and personal identity authentication which are based on cryptography can protect the storage against non-authorized access, while they are ineffective for malicious authorized users and inherent attacks. Also...
In view of the detection difficulty of the weak aerial target (WAT) due to no obvious characteristic. A new method for WAT based on Contourlet analysis and mean shift method is proposed to improve the tracking ability. Contourlet transform is used to detect the WAT, using the energy characteristic in the WAT of sub-band image to realize detection, and then extracts its centroid as the initial position...
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