May 31, 2021 · We integrate SRL into a deep cascade model, and propose a multi-scale deep cascade bi-forest (MDCBF) model for ECG biometric recognition.
Multi-Scale Deep Cascade Bi-Forest for Electrocardiogram Biometric ...
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To address this issue, we integrate SRL into a deep cascade model, and propose a multi-scale deep cascade bi-forest (MDCBF) model for ECG biometric recognition.
To address this issue, we integrate SRL into a deep cascade model, and propose a multi-scale deep cascade bi-forest (MDCBF) model for ECG biometric recognition.
To address this issue, we integrate SRL into a deep cascade model, and propose a multi-scale deep cascade bi-forest (MDCBF) model for ECG biometric recognition.
To address this issue, we integrate SRL into a deep cascade model, and propose a multi-scale deep cascade bi-forest (MDCBF) model for ECG biometric recognition.
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Keyword: deep cascade bi-forest. Regular Paper. Multi-Scale Deep Cascade Bi-Forest for Electrocardiogram Biometric Recognition. Yu-Wen Huang, Gong-Ping Yang ...
The ECG identification algorithm uses a robust preprocessing stage to eliminate the effects of noise, heart rate variability, and poor quality ECG signals. FFT- ...
May 5, 2021 · Multi-Scale Deep Cascade Bi-Forest for Electrocardiogram Biometric Recognition · Yu-Wen Huang, Gong-Ping Yang, Kui-Kui Wang, Hai-Ying Liu, Yi ...
Multi-Scale Deep Cascade Bi-Forest for Electrocardiogram Biometric Recognition ... 2012. TLDR. An ECG biometric recognition method, that needs detection of ...
Dual-feature and multi-scale fusion using U2-net deep learning model for ECG biometric recognition. https://doi.org/10.3233/jifs-230721.
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