Zhengrong Pan

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Saliency detection can be a useful technique for image semantic analysis such as auto image segmentation, image resize, advertising design and image compression. It is a core problem of saliency computing how to obtain the effective salient object with less non-saliency information, which is consist with movement of eye fixation. In this paper, we propose a(More)
In the paper we present an increment coefficient method used in face recognition which is also a linear representation-based method. Different from traditional linear representation-based method, for every class, we develop a linear model representing a virtual sample as a linear representation of the class-specific training sample and the testing sample.(More)
Scene classification is a hot problem in the computer vision. In this paper, a novel rapid scene classification method is proposed based on the discrete cosine transform (DCT) domain. Firstly, we divided the whole image into several areas of the same size without repetition, do DCT transform with the size of the B<sub>*</sub>B in each separate sub image(More)
Boundedness property of nonlinear sampled-data systems with slowly varying exogenous input signal is studied. We prove that when the effects of quantization are considered, nonlinear sampled-data systems are ultimately bounded if the systems possess a manifold of asymptotically stable constant operating points corresponding to constant values of the input(More)
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