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Titlebook: Web and Big Data; Third International Jie Shao,Man Lung Yiu,Bin Cui Conference proceedings 2019 Springer Nature Switzerland AG 2019 artifi

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Jianzong Chen,Hanlu Li,Qing Xie,Lin Li,Yongjian Liuorestry experts. Consequently, computer vision techniques have been used to automatically detect tree tops and classify them in terms of species or plant health status. The success of the algorithms are highly dependent on the data, and most significantly in its quantity and in the number of challen
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Xiaochen Wang,Gang Hu,Haoyang Lin,Jiayu Sunvities where a sub-activity correspond to a segment of video. For building activity recognizer, each segment is encoded into a feature vector. Hence a video is represented as a sequence of feature vectors. In this work, we propose to explore GMM-based encoding scheme ot encode a video segment into b
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Xiaochen Wang,Gang Hu,Haoyang Lin,Jiayu Sunanuscript localization, date estimation, and, occasionally, forgery detection. Researchers continually perform corroborative tests to classify manuscripts based on physical materials. However, these tests, often performed on-site, require actual access to the manuscript objects. These procedures inv
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Lang Mei,Jun He,Hongyan Liu,Xiaoyong Du tackled, with the goal being a thorough, statistical analysis of the data base. A reasonably complex example was chosen, to illustrate both the results as well as the problems encountered in a pattern recognition study. The statistical evaluation of the data base used for the examples was performed
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