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ORCIDJames M. Murphy
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2020 – today
- 2024
[j20]Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy:
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. J. Mach. Learn. Res. 25: 176:1-176:65 (2024)- [j19]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: 1-18 (2024) - [j18]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): 5168-5190 (2024) - [c15]Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy:
Nonlinear Unmixing of Hyperspectral Images via Regularized Wasserstein Dictionary Learning. IGARSS 2024: 8289-8294 - [c14]Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy:
Hyperspectral Image Clustering Via Learned Representation In Wasserstein Space. IGARSS 2024: 8791-8796 - [i25]Marshall Mueller, James M. Murphy, Abiy Tasissa:
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations. CoRR abs/2405.00837 (2024) - 2023
- [j17]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: 160:1-160:65 (2023) - [j16]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): 1053 (2023) - [j15]Moon Duchin, James M. Murphy, Thomas Weighill:
Measuring Segregation via Analysis on Graphs. SIAM J. Matrix Anal. Appl. 44(1): 80-105 (2023) - [j14]Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba:
K-Deep Simplex: Manifold Learning via Local Dictionaries. IEEE Trans. Signal Process. 71: 3741-3754 (2023) - [c13]Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa:
Geometrically Regularized Wasserstein Dictionary Learning. TAG-ML 2023: 384-403 - [i24]Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron:
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. CoRR abs/2302.07964 (2023) - [i23]Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy:
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. CoRR abs/2307.05750 (2023) - [i22]Matthew Werenski, James M. Murphy, Shuchin Aeron:
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures. CoRR abs/2311.11934 (2023) - [i21]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 abs/2312.15447 (2023) - 2022
- [j13]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): 3395-3406 (2022) - [j12]Anna V. Little, Daniel McKenzie, James M. Murphy:
Balancing Geometry and Density: Path Distances on High-Dimensional Data. SIAM J. Math. Data Sci. 4(1): 72-99 (2022) - [c12]Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy:
Measure Estimation in the Barycentric Coding Model. ICML 2022: 23781-23803 - [c11]Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy:
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. IGARSS 2022: 1364-1367 - [c10]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: 2287-2290 - [c9]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: 1-5 - [i20]Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy:
Measure Estimation in the Barycentric Coding Model. CoRR abs/2201.12195 (2022) - [i19]Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy:
Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images. CoRR abs/2203.09992 (2022) - [i18]Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy:
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. CoRR abs/2204.06298 (2022) - [i17]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 abs/2204.09041 (2022) - [i16]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 abs/2204.13497 (2022) - [i15]Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa:
Geometric Sparse Coding in Wasserstein Space. CoRR abs/2210.12135 (2022) - 2021
- [j11]Jovan Damjanovic, James M. Murphy, Yu-Shan Lin:
CATBOSS: Cluster Analysis of Trajectories Based on Segment Splitting. J. Chem. Inf. Model. 61(10): 5066-5081 (2021) - [j10]Shukun Zhang, James M. Murphy:
Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. Remote. Sens. 13(5): 955 (2021) - [j9]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): 142-170 (2021) - [c8]Abiy Tasissa, Duc Nguyen, James M. Murphy:
Deep Diffusion Processes for Active Learning of Hyperspectral Images. IGARSS 2021: 3665-3668 - [c7]Sam L. Polk, James M. Murphy:
Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. IGARSS 2021: 4688-4691 - [i14]Abiy Tasissa, Duc Nguyen, James M. Murphy:
Deep Diffusion Processes for Active Learning of Hyperspectral Images. CoRR abs/2101.03197 (2021) - [i13]James M. Murphy, Sam L. Polk:
A Multiscale Environment for Learning by Diffusion. CoRR abs/2102.00500 (2021) - [i12]Sam L. Polk, James M. Murphy:
Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. CoRR abs/2103.15783 (2021) - [i11]Moon Duchin, James M. Murphy, Thomas Weighill:
Measuring Segregation via Analysis on Graphs. CoRR abs/2112.10708 (2021) - 2020
- [j8]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): i464-i473 (2020) - [j7]Anna V. Little, Mauro Maggioni, James M. Murphy:
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. J. Mach. Learn. Res. 21: 6:1-6:66 (2020) - [j6]James M. Murphy, Mauro Maggioni:
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. IEEE Geosci. Remote. Sens. Lett. 17(7): 1243-1247 (2020) - [j5]James M. Murphy:
Spatially regularized active diffusion learning for high-dimensional images. Pattern Recognit. Lett. 135: 213-220 (2020) - [c6]James M. Murphy:
Patch-Based Diffusion Learning for Hyperspectral Image Clustering. IGARSS 2020: 1042-1045 - [i10]Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu:
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. CoRR abs/2003.03616 (2020) - [i9]Shukun Zhang, James M. Murphy:
Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. CoRR abs/2004.05048 (2020) - [i8]Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba:
Manifold Learning and Deep Clustering with Local Dictionaries. CoRR abs/2012.02134 (2020) - [i7]Anna V. Little, Daniel McKenzie, James M. Murphy:
Balancing Geometry and Density: Path Distances on High-Dimensional Data. CoRR abs/2012.09385 (2020)
2010 – 2019
- 2019
- [j4]Mauro Maggioni, James M. Murphy:
Learning by Unsupervised Nonlinear Diffusion. J. Mach. Learn. Res. 20: 160:1-160:56 (2019) - [j3]James M. Murphy, Mauro Maggioni:
Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion. IEEE Trans. Geosci. Remote. Sens. 57(3): 1829-1845 (2019) - [c5]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: 2019-2022 - [c4]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: 5808-5811 - [c3]James M. Murphy, Mauro Maggioni:
Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation. IGARSS 2019: 3828-3831 - [i6]James M. Murphy, Mauro Maggioni:
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. CoRR abs/1902.05402 (2019) - [i5]Mauro Maggioni, James M. Murphy:
Learning by Active Nonlinear Diffusion. CoRR abs/1905.12989 (2019) - [i4]James M. Murphy:
Spatially regularized active diffusion learning for high-dimensional images. CoRR abs/1911.02155 (2019) - 2018
- [j2]Wojciech Czaja, James M. Murphy, Daniel Weinberg:
Superresolution of Noisy Remotely Sensed Images Through Directional Representations. IEEE Geosci. Remote. Sens. Lett. 15(12): 1837-1841 (2018) - [c2]James M. Murphy, Mauro Maggioni:
Iterative active learning with diffusion geometry for hyperspectral images. WHISPERS 2018: 1-5 - [i3]Mauro Maggioni, James M. Murphy:
Learning by Unsupervised Nonlinear Diffusion. CoRR abs/1810.06702 (2018) - 2017
- [i2]James M. Murphy, Mauro Maggioni:
Unsupervised Geometric Learning of Hyperspectral Images. CoRR abs/1704.07961 (2017) - 2016
- [j1]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): 1685-1704 (2016) - [i1]Wojciech Czaja, James M. Murphy, Daniel Weinberg:
Single-Image Superresolution Through Directional Representations. CoRR abs/1602.08575 (2016) - 2015
- [c1]James M. Murphy, Jacqueline Le Moigne:
Shearlet features for registration of remotely sensed multitemporal images. IGARSS 2015: 1084-1087
Coauthor Index
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