基于FrFT变换和全变分正则化的异常检测算法
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孙菲,厉小润,赵辽英,余绍奇
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Anomaly detection algorithm based on FrFT transform and total variation regularization
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Fei SUN,Xiao-run LI,Liao-ying ZHAO,Shao-qi YU
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表 3 不同算法在3个数据集上的 ${({{\boldsymbol{P}}}}_{\bf{d}},\boldsymbol{\eta })$ |
Tab.3 ${({P}}_{{\rm{d}}},\eta )$ of different methods in three datasets |
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数据集 | (Pd, η) | GRX | RPCA | FRFE | LSMAD | LRASR | 本文方法 | Urban | 0.2949 | 0.2609 | 0.4432 | 0.3672 | 0.5072 | 0.5423 | Pavia | 0.1632 | 0.1081 | 0.1302 | 0.1292 | 0.2634 | 0.2937 | Hyperion | 0.1817 | 0.1408 | 0.1090 | 0.1828 | 0.3139 | 0.3305 |
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