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A better understanding of travel demand will enable transit authorities to evaluate the services they offer, adjust marketing strategies and improve overall transit performance. In this paper, we aim to develop a method to identify the trip purpose of passenger flow who have trips to commercial district. While the same region always has the different functions, it is fairly challenging to identify...
Recently, establishment and maintenance of the tax assessment indicators system is still in the stage of manual operation. The accuracy of tax assessment depends on the officials' judgment and analysis which bring them huge amount of work. Furthermore, the evaluation results are affected by manual factors and not reliable. To improve tax assessment, this paper proposes a tax assessment model based...
Almost all unbalanced classification algorithms focus on how to maximize the balance degree of the data set, which means to remove those negative samples that are useless for classifier training while keeping the positive samples and useful samples as many as possible. However, we find that the best balance degree is not necessary with the highest classification accuracy. In this paper, we propose...
Good feature extraction scheme and classifiers are the key to face recognition algorithms. A general and efficient face feature extraction approach is presented which utilizes linear discriminant information and global search strategy. In order to get rid of redundant information and meanwhile reduce computational burden, we first compute the nonzero feature space of scatter matrix of the training...
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