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BLP model is a classic model of significant strategies of confidentiality. By classifying and marking the subjects and objects, it realizes the discretionary access control and mandatory access control. Existing system security models are mainly based on the improved BLP model. Along with the popularity of mobile devices, cross-platform system based on Web is attracting more and more attentions. For...
In this paper, we present a framework for automatically analyzing activities and interactions, and recognizing traffic states from surveillance video. Activities and interactions are firstly learned by Hierarchical Dirichlet Process (HDP) models based on low-level visual features. Based on the learning results, a Gaussian Process (GP) classifier is trained to classify the traffic states in online...
For instance the evaluation of an Olympic problems in this paper, Firstly we collected statistical data of various factors through the establishment of the model of grey relational degree. Then quantitative analysis using the model of these factors impact on the evaluation of the object and come to affect the degree of ranking. The use of a wide range of the models in agricultural economics, water,...
A novel visual attention model using multi-scale cues is presented in this paper. Visual data is decomposed into multi-scale sub-images which contain multi-scale details on the basis of Gaussian Pyramid, and contrast features are extracted from these multi-scale images for saliency map generation. Compared with other visual attention models, the proposed model can efficiently generate saliency map...
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