融合微博热点分析和 ＬSTM 模型的 网络舆情预测方法.
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- Journal of Jiangsu University (Natural Science Edition) / Jiangsu Daxue Xuebao (Ziran Kexue Ban), 2021, v. 42, n. 5, p. 546, doi. 10.3969/j.issn.1671-7775.2021.05.008
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Works matching AU 詹天明
Results: 4
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基于空间特征联合核稀疏表示的脑肿瘤提取方法.
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- Journal of Jiangsu University (Natural Science Edition) / Jiangsu Daxue Xuebao (Ziran Kexue Ban), 2017, v. 38, n. 4, p. 449, doi. 10.3969/j.issn.1671-7775.2017.04.013
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3
高光谱协同稀疏与非局部低秩张量变化检测.
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- Journal of Frontiers of Computer Science & Technology, 2022, v. 16, n. 2, p. 448, doi. 10.3778/j.issn.1673-9418.2009009
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- Article
4
基于低秩全变差正则化的高光谱异常检测方法.
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- Journal of Frontiers of Computer Science & Technology, 2020, v. 14, n. 12, p. 2140, doi. 10.3778/j.issn.1673-9418.2002003
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- Article