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Consumer credit prediction is considered as an important issue in the credit industry. The credit department often makes decision which depends on intuitive experience with large risk. This study proposed a new model that hybridized the support vector machine (SVM) and particle swarm optimization (PSO) to evaluate the new consumer's credit score. The hybrid model simultaneously optimizes the SVM kernel...
A novel stereo displaying method is presented in this paper. According to the basic stereovision principle, the relationship between binocular disparity and 3d scene depth is discussed with matrix algebra in detail. With computer graphics considered, the horizontal binocular disparity of spatial point is converted to pixel disparity on screen. Then a spatial range condition of stereovision is introduced...
We do research on the problem of moving object classification. Our aim is to classify moving objects of traffic scene videos into pedestrians, bicycles and vehicles. The self-organizing feature map (SOM) is an unsupervised learning algorithm, which is developed by simulating the signal processing of human brain, has the advantage of simple principle and self organization, and has been used in many...
Nowadays, many studies of the discovery of needs and feelings of the hotel customers are not only around before-booking period, but also do not consider the privacy of customers completely. While the best period of studies of this knowledge are after the booking took place, there are two major problems for its unpopular: one is personal privacy, the other is not having a scientific and valuable approach...
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