With the development of educational information, the major concerns of the university are how to manage the current dispersed information unitedly and how to realize seamless share between information systems. This pa...
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We address a learning-based method for super resolution. Training sample set provide a candidate highresolution interpretation for the low-resolution images. Modeling image patches as Markov network node, and we learn...
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A new dynamic vehicle scheduling algorithm with changeable time window is presented. This algorithm can consider both bespoken demand and real-time demand. The initial routings are constructed by insertion algorithm, ...
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An intelligent home system is designed and implemented based on the context-awareness technology, which minimizes users' interventions and maximizes functional autonomy of systems. A multi-agent technology is prop...
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With the fast development of communication technology based on Internet, the mobile phones become widely to be used in daily life. Short message plays the most important role in our daily life, mobile users can obtain...
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A valid multiscale classification method of synthetic aperture radar (SAR) imagery is proposed based on Multiscale technology and Markov Random Field (MRF) mode. Firstly, we employ multiscale autoregressive model for ...
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This paper introduces the design and realization of information servicesystem based on the Internet and mobile communications. The system considers the short message processing as a Web service located in a remote se...
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Pattern matching method has been used in this paper, and intrusion detection method based on protocol acknowledgement is proposed. We analyze how to determine the time interval value of ΔT and the threshold value of ...
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Since Otsu algorithm does not take the image spatial neighbor information into consideration, we combine the Markov random field with Otsu algorithm to integrate gray level information and spatial correlation informat...
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Large-scale distributed deep learning is of great importance in various applications. For distributed training, the inter-node gradient communication often becomes the performance bottleneck. Gradient sparsification h...
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