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In this paper, we study about the problem of how to recognize the user emotion based on smartphone data more really. With single data used in the previous studies, it cannot make a comprehensive response of user behavior patterns. So we collected fine-grained sensing data which could reflect user daily behavior fully from multiple dimensions based on smartphone, and then used multidimensional data...
Ship target recognition in infrared image remains a difficult problem, due to the projection or silhouette of a three-dimensional ship target being variable in shape, orientation and scale to make its recognizability unstable. In this paper, a transductive transfer learning framework is proposed to solve the problem. Hu moments is firstly extracted as feature vectors of target. Then the transductive...
Selecting suitable features is very crucial for achieving successful classification of land cover types. This paper presents a comparative study of three typical feature selection methods for the task of regional land cover classification using MODIS data. Comparison results have shown that Branch and Bound is the best for land cover classification with MODIS data, while ReliefF and mRMR achieve nearly...
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