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Smile detection from facial images is a specialized task in facial expression analysis with many potential applications such as smiling payment, patient monitoring and photo selection. The current methods on this study are to represent face with low-level features, followed by a strong classifier. However, these manual features cannot well discover information implied in facial images for smile detection...
A novel stock trading rule is proposed in this paper. The trading rule combines self-organizing map network and K-means clustering algorithm to discover the potential features of high frequency financial data at first, and then new trading strategies are proposed to assist investors' transaction decision. The hybrid clustering based trading rule is applied to Hushen 300 Index of Chain, and compared...
Although many models have been developed for prediction and forecasting of time series in various engineering fields, there is no perfect model to forecast hydrologic time series. In recent decades, Artificial Neural Networks (ANNs) have been very common for prediction and forecasting of hydrologic time series because of their practicality in applications. In this paper, we propose the application...
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