Strong measurement method of evidence conflict based on earth mover’s distance by Xin WANG, Wei FU

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Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance by Shuyan Hao, Ting Xia, Ruizhi Zhang, Meng Guo

“…Here we propose to use two-dimensional Wasserstein distance (earth mover’s distance) to measure the compositional similarity between different compounds, based on the periodic table representation of compositions. …”
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Slow Motion and Zoom in HD Digital Videos Using Fractals by Maurizio Murroni, Cristian Perra, Daniele D. Giusto

“…Fast scene change detection, active scene detection, wavelet subband analysis, and color fractal coding based on Earth Mover's Distance (EMD) measure are used to reduce computational load and to improve visual quality. …”
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An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning by Xiangchun Yu, Zhezhou Yu, Wei Pang, Minghao Li, Lei Wu

“…Secondly, an improved Earth Mover’s Distance (EMD) metric is adopted to measure the dissimilarity between blocks of one face image and the corresponding blocks from the rest of face images. …”
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I-PAttnGAN: An Image-Assisted Point Cloud Generation Method Based on Attention Generative Adversarial Network by Wenwen Li, Yaxing Chen, Qianyue Fan, Meng Yang, Bin Guo, Zhiwen Yu

“…The results show that I-PAttnGAN significantly improves the performance of generating high-quality, dense point clouds in low-density regions compared with existing methods: the Chamfer distance value is reduced by about 2 times, the Earth Mover’s distance value is increased by 1.3 times, and the F1 value is increased by about 1.5 times. …”
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An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device by Nishat Tasnim Newaz, Eisuke Hanada

“…The collected thermal data were compared with multiple statistical distributions using Earth Mover’s Distance. Experimental results showed that normal activities exhibited low EMD values with Beta and Normal distributions, suggesting that these distributions closely matched the thermal patterns associated with regular movements. …”
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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

“…Initially, a Fast Fourier Transform (FFT) was applied to both the ECG and fundus images, transforming the data into the frequency domain. Subsequently, the Earth Mover’s Distance (EMD) was computed for the frequency-domain features of both modalities. …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Saliency maps were generated using Integrated Gradients (IG) to provide post hoc explanations for pretraining, while Earth Mover’s Distance (EMD) quantified the temporal dynamics of salient features in the downstream tasks. …”
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