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Image classification is an important task in content-based image retrieval, which can be regarded as an intermediate component to handle large-scale image datasets for improving the accuracy of image retrieval. Traditional image classification methods generally utilize Support Vector Machines (SVM) as image classifier. However, there are several drawbacks of using SVM, such as the high computational...
Based on Independent Component Analysis (ICA) and fuzzy membership functions, a new method of face image feature extraction and recognition is proposed. The new face recognition algorithm processes classification and identification of face images with combination of Independent Component Analysis and membership functions. The experiment results on ORL face databases show that the recognition algorithm...
This paper proposed a chaotic image scrambling scheme based on sorting transformation. The algorithm calculates the permuting address codes by sorting the chaotic sequence. Therefore, the scheme does not require knowing the probability density function of the chaotic orbits in advance, thus not only facilitating the choice of chaotic systems but also reducing the complexity of the scheme. The paper...
Web community discovery is much important for engineering optimization, search engine design and so on. In this paper, we propose a Linear Multi-Community Partition Algorithm for Scale-free network. We first take a function to measure the weight of each node in network and generate an order series by the weight of node, then iterate the algorithm to complete web community discovery. We use different...
To address the problem of quick searching for evolutionary stable strategy in replicated dynamic mechanism, a solving algorithm based on parallel particle sub-swarm optimization (PSSO) is proposed. Firstly, evaluating function is introduced to integrate multiple objectives of all strategies. Secondly, multiplier method is used to derivate the fitness function. Finally, the optimal solution of strategy...
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