James M. Murphy

According to our database, James M. Murphy authored at least 45 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron

IEEE Trans. Inf. Theory, July, 2024

Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering.

Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan

IEEE Trans. Geosci. Remote. Sens., 2024

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

Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy

J. Mach. Learn. Res., 2024

Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications.

Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy

CoRR, 2024

Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations.

Marshall Mueller, James M. Murphy, Abiy Tasissa

CoRR, 2024

Hyperspectral Image Clustering Via Learned Representation In Wasserstein Space.

Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy

Proceedings of the IGARSS 2024, 2024

Nonlinear Unmixing of Hyperspectral Images via Regularized Wasserstein Dictionary Learning.

Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy

Proceedings of the IGARSS 2024, 2024

2023

Measuring Segregation via Analysis on Graphs.

Moon Duchin, James M. Murphy, Thomas Weighill

SIAM J. Matrix Anal. Appl., March, 2023

Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images.

Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy

Remote. Sens., February, 2023

K-Deep Simplex: Manifold Learning via Local Dictionaries.

Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba

IEEE Trans. Signal Process., 2023

Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling.

Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron

J. Mach. Learn. Res., 2023

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

Matthew Werenski, James M. Murphy, Shuchin Aeron

CoRR, 2023

Geometrically Regularized Wasserstein Dictionary Learning.

Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa

Proceedings of the Topological, 2023

2022

Balancing Geometry and Density: Path Distances on High-Dimensional Data.

Anna V. Little, Daniel McKenzie, James M. Murphy

SIAM J. Math. Data Sci., 2022

Geometric Sparse Coding in Wasserstein Space.

Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa

CoRR, 2022

Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images.

Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy

CoRR, 2022

GLIDER: function prediction from GLIDE-based neighborhoods.

Kapil Devkota, Henri Schmidt, Matthew Werenski, James M. Murphy, Mert Erden, Victor Arsenescu, Lenore J. Cowen

Bioinform., 2022

Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry.

Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images.

Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering.

Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Measure Estimation in the Barycentric Coding Model.

Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy

Proceedings of the International Conference on Machine Learning, 2022

2021

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

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

SIAM J. Math. Data Sci., 2021

Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics.

Shukun Zhang, James M. Murphy

Remote. Sens., 2021

CATBOSS: Cluster Analysis of Trajectories Based on Segment Splitting.

Jovan Damjanovic, James M. Murphy, Yu-Shan Lin

J. Chem. Inf. Model., 2021

A Multiscale Environment for Learning by Diffusion.

James M. Murphy, Sam L. Polk

CoRR, 2021

Deep Diffusion Processes for Active Learning of Hyperspectral Images.

Abiy Tasissa, Duc Nguyen, James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry.

Sam L. Polk, James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Spatially regularized active diffusion learning for high-dimensional images.

James M. Murphy

Pattern Recognit. Lett., 2020

Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering.

James M. Murphy, Mauro Maggioni

IEEE Geosci. Remote. Sens. Lett., 2020

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

Anna V. Little, Mauro Maggioni, James M. Murphy

J. Mach. Learn. Res., 2020

Manifold Learning and Deep Clustering with Local Dictionaries.

Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba

CoRR, 2020

GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks.

Kapil Devkota, James M. Murphy, Lenore J. Cowen

Bioinform., 2020

Patch-Based Diffusion Learning for Hyperspectral Image Clustering.

James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion.

James M. Murphy, Mauro Maggioni

IEEE Trans. Geosci. Remote. Sens., 2019

Learning by Unsupervised Nonlinear Diffusion.

Mauro Maggioni, James M. Murphy

J. Mach. Learn. Res., 2019

Learning by Active Nonlinear Diffusion.

Mauro Maggioni, James M. Murphy

CoRR, 2019

Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation.

James M. Murphy, Mauro Maggioni

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features.

Sam L. Polk, Kimia Kashkooli, Sunil Belur Nagaraj, Shubham Chamadia, James M. Murphy, Haoqi Sun, M. Brandon Westover, Riccardo Barbieri, Oluwaseun Akeju

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System.

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Superresolution of Noisy Remotely Sensed Images Through Directional Representations.

Wojciech Czaja, James M. Murphy, Daniel Weinberg

IEEE Geosci. Remote. Sens. Lett., 2018

Iterative active learning with diffusion geometry for hyperspectral images.

James M. Murphy, Mauro Maggioni

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017

Unsupervised Geometric Learning of Hyperspectral Images.

James M. Murphy, Mauro Maggioni

CoRR, 2017

2016

Automatic Image Registration of Multimodal Remotely Sensed Data With Global Shearlet Features.

James M. Murphy, Jacqueline Le Moigne, David J. Harding

IEEE Trans. Geosci. Remote. Sens., 2016

Single-Image Superresolution Through Directional Representations.

Wojciech Czaja, James M. Murphy, Daniel Weinberg

CoRR, 2016

2015

Shearlet features for registration of remotely sensed multitemporal images.

James M. Murphy, Jacqueline Le Moigne

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015