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The traditional financial time series forecasting methods use accurate input data for prediction, and then make single-step or multi-step prediction based on the established regression model. So its prediction result is one or more specific values. But because of the complexity of financial markets, the traditional forecasting methods are less reliable. In(More)
Multifocus color image fusion is an active research area in image processing, and many fusion algorithms have been developed. However, the existing techniques can hardly deal with the problem of image blur. This study present a novel fusion approach that integrates the quaternion with traditional curvelet transform to overcome the above disadvantage. The(More)
This paper describes the PKUTM participation in the TREC 2010 Blog Track. We only concentrated on the Faceted Blog Distillation Task this year. Our system adopts a two-stage approach for this task. In the first stage, our system makes use of an IR platform indri to obtain the top N ad-hoc topic-relevant blog posts for each query. In the second stage,(More)
This paper describes our work in the Simplified Chinese opinion analysis tasks in NTCIR-8. In the task of detecting opinioned sentences, various sentiment lexicons are used, including opinion indicators, opinion operators, degree adverbs and opinion words. The linear SVM model is selected as the main classifier, and four groups of features are extracted(More)
A novel multifocus color image fusion algorithm based on the quaternion wavelet transform (QWT) is proposed in this paper, aiming at solving the image blur problem. The proposed method uses a multiresolution analysis procedure based on the quaternion wavelet transform. The performance of the proposed fusion scheme is assessed by some experiments, and the(More)
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