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Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry


Mar 29, 2021
Sam L. Polk, James M. Murphy

* (6 pages, 2 figures). To appear in Proceedings of IEEE IGARSS 2021 

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A Multiscale Environment for Learning by Diffusion


Jan 31, 2021
James M. Murphy, Sam L. Polk

* 35 pages, 10 figures 

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Manifold Learning and Deep Clustering with Local Dictionaries


Dec 03, 2020
Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba Ba

* 14 pages, 6 figures 

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Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics


Apr 10, 2020
Shukun Zhang, James M. Murphy

* 5 pages, 2 columns, 9 figures 

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Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks


Mar 07, 2020
Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu

* 28 pages 

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Spatially regularized active diffusion learning for high-dimensional images


Nov 06, 2019
James M. Murphy

* 17 pages 

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Learning by Active Nonlinear Diffusion


May 30, 2019
Mauro Maggioni, James M. Murphy

* 20 pages, 10 figures 

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Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering


Feb 08, 2019
James M. Murphy, Mauro Maggioni


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Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion


Oct 15, 2018
James M. Murphy, Mauro Maggioni

* 17 pages, 22 figures, 3 tables. IEEE accepted version 

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Learning by Unsupervised Nonlinear Diffusion


Oct 15, 2018
Mauro Maggioni, James M. Murphy

* 40 Pages, 19 Figures 

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Superresolution of Noisy Remotely Sensed Images Through Directional Representations


Sep 04, 2018
Wojciech Czaja, James M. Murphy, Daniel Weinberg

* 5 pages (double column). IEEE copyright added 

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Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms


Dec 17, 2017
Anna Little, Mauro Maggioni, James M. Murphy

* 49 pages, 12 figures 

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