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Hankel determinants and Jacobi continued fractions for $q$-Euler numbers
Published 2024-03-01Get full text
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Publisher Correction: Imagined otherness fuels blatant dehumanization of outgroups
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Imagined otherness fuels blatant dehumanization of outgroups
Published 2024-05-01Get full text
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Declines in anthropogenic mercury emissions in the Global North and China offset by the Global South
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Extracellular viral microRNAs as biomarkers of virus infection in human cells
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Patients with chronic heart failure and predominant left atrial versus left ventricular myopathy
Published 2025-02-01Get full text
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Cross-dataset person re-identification method based on multi-pool fusion and background elimination network
Published 2020-10-01“…The existing cross-dataset person re-identification methods were generally aimed at reducing the difference of data distribution between two datasets,which ignored the influence of background information on recognition performance.In order to solve this problem,a cross-dataset person re-ID method based on multi-pool fusion and background elimination network was proposed.To describe both global and local features and implement multiple fine-grained representations,a multi-pool fusion network was constructed.To supervise the network to extract useful foreground features,a feature-level supervised background elimination network was constructed.The final network loss function was defined as a multi-task loss,which combined both person classification loss and feature activation loss.Three person re-ID benchmarks were employed to evaluate the proposed method.Using MSMT17 as the training set,the cross-dataset mAP for Market-1501 was 35.53%,which was 9.24% higher than ResNet50.Using MSMT17 as the training set,the cross-dataset mAP for DukeMTMC-reID was 41.45%,which was 10.72% higher than ResNet50.Compared with existing methods,the proposed method shows better cross-dataset person re-ID performance.…”
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Physician Perceptions on Colonoscopy Quality: Results of a National Survey of Gastroenterologists
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A dataset of Uniswap daily transaction indices by network
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A weak edge estimation based multi-task neural network for OCT segmentation.
Published 2025-01-01“…The boundary regression branch utilizes an adaptive weighted loss function derived from the Truncated Signed Distance Function(TSDF), improving the model's capacity to preserve weak edge details. …”
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Topology aggregation model based on focus folding for network simulation
Published 2012-07-01Get full text
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Molecular Characterization of Putative Virulence Determinants in Burkholderia pseudomallei
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Local routing strategy in network simulation based on Zone_Cut
Published 2013-07-01Get full text
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Blood Pressure-Lowering Mechanisms of the DASH Dietary Pattern
Published 2012-01-01Get full text
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