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Kernel-based Support Vector Machine (SVM) is widely used in many fields (e.g. image classification) for its good generalization, in which the key factor is to design effective kernel functions based on efficient features. In this paper, we propose a new approach that uses a combination of global and local image features to represent images and learns Support Vector Machine classifier with a new and...
How can we complete massive images with some missing region? In this paper, we present a new image completion algorithm. Our goal is to finish the uncompleted image with missing region more creative and seamless. In other words, we not only complete the missing region semantic valid but also make the completed image more seamless and consistent.We use some innovative methods to deal with the problem...
This paper proposes a new genetic fuzzy approach, in which the traditional method for generating the initial population and the cross operator are improved. Our new method is tested on classifier fusion problem, and the experimental results show it outperform other classifier combination methods in the classification accuracy
In recent years, people pay more and more attention to security. Our system presented in this paper is a real-time application to intelligent environment security. It can recognize simple human behaviors and send out alert message intelligently based on human behavior analysis results. This paper mainly describes the behavior analysis methods used in the system, such as moving object detection, human...
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