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Robust and Computationally-Efficient Anomaly Detection ...
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由 U Muneeb 著作2020被引用 10 次 — We propose a technique to increase robustness and reduce computational complexity in a Convolutional Neural Network (CNN) based anomaly detector that utilizes ...
robust and computationally-efficient anomaly detection using
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由 U Muneeb 著作2020被引用 10 次 — Our deep neural network inference algorithm is about 10% to 25% faster than the corresponding powers-of-two networks while detect- ing all the anomalous events ...
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Robust and Computationally-Efficient Anomaly Detection ...
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A technique to increase robustness and reduce computational complexity in a Convolutional Neural Network (CNN) based anomaly detector that utilizes the ...
Robust and Computationally-Efficient Anomaly Detection ...
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2024年9月12日 — We propose a technique to increase robustness and reduce computational complexity in a Convolutional Neural Network (CNN) based anomaly detector ...
Robust and Computationally-Efficient Anomaly Detection using ...
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Robust and computationally efficient anomaly detection in videos is a problemin video surveillance systems. We propose a technique to increase robustnessand ...
Robust and Computationally-Efficient Anomaly Detection Using ...
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Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks ... network models include compressing a large neural network using ...
IEEE ICASSP 2020 || Barcelona, Spain || 4-8 May 2020
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ROBUST AND COMPUTATIONALLY-EFFICIENT ANOMALY DETECTION USING POWERS-OF-TWO NETWORKS. Authors, Usama Muneeb, Erdem Koyuncu, University of Illinois at Chicago ...
Yasaman Keshtkarjahromi
University of Illinois Chicago
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University of Illinois Chicago
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Enis Cetin “Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks,” in IEEE ICASSP, Barcelona, Spain, May 2020. Yasaman ...
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Robust resonant anomaly detection with NPLM
arXiv
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8 日前 — NPLM offers an end-to-end approach to anomaly detection and hypothesis testing by utilizing an in-sample evaluation of a binary classifier to ...
An Integrative Computational Intelligence for Robust Anomaly ...
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AI-driven anomaly detection systems make use of sophisticated algorithms and computing power to improve efficiency and accuracy over conventional methods. 3 ...
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