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Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms

Garcia_Trillos, Nicolas; Little, Anna; McKenzie, Daniel; Murphy, James M (July 2024, Journal of machine learning research)

Free, publicly-accessible full text available July 1, 2025
Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering

https://doi.org/10.1109/TGRS.2024.3385202

Cui, Kangning; Li, Ruoning; Polk, Sam L; Lin, Yinyi; Zhang, Hongsheng; Murphy, James M; Plemmons, Robert J; Chan, Raymond H (January 2024, IEEE Transactions on Geoscience and Remote Sensing)

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On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection

https://doi.org/10.1109/TIT.2024.3367182

Werenski, Matthew; Masud, Shoaib Bin; Murphy, James M; Aeron, Shuchin (January 2024, IEEE Transactions on Information Theory)

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Estimation of entropy-regularized optimal transport maps between non-compactly supported measures

Werenski, M; Murphy, JM; Aeron, S (November 2023, arXiv)
K-Deep Simplex: Manifold Learning via Local Dictionaries

https://doi.org/10.1109/TSP.2023.3322820

Tasissa, Abiy; Tankala, Pranay; Murphy, James M.; Ba, Demba (January 2023, IEEE Transactions on Signal Processing)

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