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This paper implements the face recognition system based on genetic algorithm. System is consisted of illumination compensation in video image, feature extraction, feature selection, classification, identification, and displaying. the recognition rate of human face recognition system with a good stability and strong practicality is above 90%. It has laid a good foundation for further study of face...
Although human resource status has made a lot of improvement since reform and opening up in China, comparing with the developed countries, China's enterprises, especially in the aspects of state-owned enterprises still have many deficiencies which seriously suppress the economic development of China. This article analyzed many problems in human resource management of state-owned enterprises, such...
Network traffic classification has always been an important part of realizing effective network management. Due to network traffic is high-dimensional nonlinear, classical Self-Organizing Maps (SOM) has poor robustness and reliability because it adopts Euclidean distance. A network traffic classification method based on Kernel-SOM (KSOM) is proposed, which replaces Euclidean distance with non-Euclidean...
The present situation about cavitation performance prediction of centrifugal pump is introduced. The primary methods of cavitation performance prediction for centrifugal pumps are summarized, including numerical simulation method and artificial neural network method. Based on the neutral network toolbox of MATLAB7.0, topological structures of artificial neural networks are determined and network models...
The problem of mining single-label data streams has been extensively studied in recent years. However, not enough attention has been paid to the problem of mining multi-label data streams. In this paper, a weighted voting ensemble approach is proposed to tackle this problem. We partition the incoming data stream into sequential chunks, and use binary relevance method to transform each chunk into a...
In the process of SME (small and medium enterprises) informationization, E-learning, which has many merits, such as low-cost and conveniences, is widely used in SME staff training. On the other hand, it has many shortcomings that are the contents and methods are not applicable. In this paper, we design a stream-media-based video/audio education system for medium and small sized enterprises after analyzing...
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