Shape anomaly detection under strong measurement noise: An analytical approach to adaptive thresholding.

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作者： Alexander S,Krasichkov ^[1] ; Eugene B,Grigoriev ^[1] ; Mikhail I,Bogachev ^[1] ; Eugene M,Nifontov ^[2]

作者单位： St. Petersburg Electrotechnical University, 5 Professor Popov Street, St. Petersburg 197376, Russia. ^[1] Pavlov First Saint Petersburg State Medical University, 6/8 Leo Tolstoy Street, St. Petersburg 197022, Russia. ^[2]

DOI 10.1103/PhysRevE.92.042927

PMID 26565324

发布时间 2015-11-14

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Physical review. E, Statistical, nonlinear, and soft matter physics

2015年92卷4期

042927页

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Shape anomaly detection under strong measurement noise: An analytical approach to adaptive thresholding.

Physical review. E, Statistical, nonlinear, and soft matter physics

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Shape anomaly detection under strong measurement noise: An analytical approach to adaptive thresholding.

Physical review. E, Statistical, nonlinear, and soft matter physics

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Physical review. E, Statistical, nonlinear, and soft matter physics

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