James M. Murphy

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Nonlinear Diffusion

Delaunay Triangulation

Top Venues

IEEE Trans. Geosci. Remote. Sens.

J. Mach. Learn. Res.

Publications

Marshall Mueller, James M. Murphy, Abiy Tasissa
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations. CoRR (2024)
Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. IEEE Trans. Inf. Theory 70 (7) (2024)
Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. CoRR (2023)
Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling. J. Mach. Learn. Res. 24 (2023)
Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images. Remote. Sens. 15 (4) (2023)
Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa
Geometrically Regularized Wasserstein Dictionary Learning. TAG-ML (2023)
Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. CoRR (2023)
Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. CoRR (2023)
Matthew Werenski, James M. Murphy, Shuchin Aeron
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures. CoRR (2023)
Moon Duchin, James M. Murphy, Thomas Weighill
Measuring Segregation via Analysis on Graphs. SIAM J. Matrix Anal. Appl. 44 (1) (2023)
Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba
K-Deep Simplex: Manifold Learning via Local Dictionaries. IEEE Trans. Signal Process. 71 (2023)
Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa
Geometric Sparse Coding in Wasserstein Space. CoRR (2022)
Anna Little, Daniel McKenzie, James M. Murphy
Balancing Geometry and Density: Path Distances on High-Dimensional Data. SIAM J. Math. Data Sci. 4 (1) (2022)
Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy
Measure Estimation in the Barycentric Coding Model. CoRR (2022)
Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering. IGARSS (2022)
Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry. CoRR (2022)
Kapil Devkota, Henri Schmidt, Matthew Werenski, James M. Murphy, Mert Erden, Victor Arsenescu, Lenore J. Cowen
GLIDER: function prediction from GLIDE-based neighborhoods. Bioinform. 38 (13) (2022)
Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. CoRR (2022)
Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering. CoRR (2022)
Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry. WHISPERS (2022)
Mattthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy
Measure Estimation in the Barycentric Coding Model. ICML (2022)
Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. IGARSS (2022)
Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images. CoRR (2022)
James M. Murphy, Sam L. Polk
A Multiscale Environment for Learning by Diffusion. CoRR (2021)
Sam L. Polk, James M. Murphy
Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. IGARSS (2021)
Abiy Tasissa, Duc Nguyen, James M. Murphy
Deep Diffusion Processes for Active Learning of Hyperspectral Images. IGARSS (2021)
Shukun Zhang, James M. Murphy
Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. Remote. Sens. 13 (5) (2021)
Moon Duchin, James M. Murphy, Thomas Weighill
Measuring Segregation via Analysis on Graphs. CoRR (2021)
Abiy Tasissa, Duc Nguyen, James M. Murphy
Deep Diffusion Processes for Active Learning of Hyperspectral Images. CoRR (2021)
Jovan Damjanovic, James M. Murphy, Yu-Shan Lin
CATBOSS: Cluster Analysis of Trajectories Based on Segment Splitting. J. Chem. Inf. Model. 61 (10) (2021)
Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. SIAM J. Math. Data Sci. 3 (1) (2021)
Sam L. Polk, James M. Murphy
Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. CoRR (2021)
Kapil Devkota, James M. Murphy, Lenore J. Cowen
GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks. Bioinform. 36 (Supplement-1) (2020)
James M. Murphy
Spatially regularized active diffusion learning for high-dimensional images. Pattern Recognit. Lett. 135 (2020)
Shukun Zhang, James M. Murphy
Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. CoRR (2020)
Anna V. Little, Mauro Maggioni, James M. Murphy
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. J. Mach. Learn. Res. 21 (2020)
Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. CoRR (2020)
James M. Murphy
Patch-Based Diffusion Learning for Hyperspectral Image Clustering. IGARSS (2020)
Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba
Manifold Learning and Deep Clustering with Local Dictionaries. CoRR (2020)
James M. Murphy, Mauro Maggioni
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. IEEE Geosci. Remote. Sens. Lett. 17 (7) (2020)
Mauro Maggioni, James M. Murphy
Learning by Active Nonlinear Diffusion. CoRR (2019)
James M. Murphy, Mauro Maggioni
Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Mauro Maggioni, James M. Murphy
Learning by Unsupervised Nonlinear Diffusion. J. Mach. Learn. Res. 20 (2019)
James M. Murphy
Spatially regularized active diffusion learning for high-dimensional images. CoRR (2019)
Sam L. Polk, Kimia Kashkooli, Sunil Belur Nagaraj, Shubham Chamadia, James M. Murphy, Haoqi Sun, M. Brandon Westover, Riccardo Barbieri, Oluwaseun Akeju
Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features. EMBC (2019)
Kimia Kashkooli, Sam L. Polk, Shubham Chamadia, Eunice Hahm, Breanna Ethridge, Jacob Gitlin, Reine Ibala, Jennifer Mekonnen, Juan Pedemonte, James M. Murphy, Haoqi Sun, M. Brandon Westover, Oluwaseun Akeju
Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System. EMBC (2019)
James M. Murphy, Mauro Maggioni
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. CoRR (2019)
James M. Murphy, Mauro Maggioni
Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation. IGARSS (2019)
Wojciech Czaja, James M. Murphy, Daniel Weinberg
Superresolution of Noisy Remotely Sensed Images Through Directional Representations. IEEE Geosci. Remote. Sens. Lett. 15 (12) (2018)
James M. Murphy, Mauro Maggioni
Iterative active learning with diffusion geometry for hyperspectral images. WHISPERS (2018)
Mauro Maggioni, James M. Murphy
Learning by Unsupervised Nonlinear Diffusion. CoRR (2018)
James M. Murphy, Mauro Maggioni
Unsupervised Geometric Learning of Hyperspectral Images. CoRR (2017)
Wojciech Czaja, James M. Murphy, Daniel Weinberg
Single-Image Superresolution Through Directional Representations. CoRR (2016)
James M. Murphy, Jacqueline Le Moigne, David J. Harding
Automatic Image Registration of Multimodal Remotely Sensed Data With Global Shearlet Features. IEEE Trans. Geosci. Remote. Sens. 54 (3) (2016)
James M. Murphy, Jacqueline Le Moigne
Shearlet features for registration of remotely sensed multitemporal images. IGARSS (2015)