K. Cui, R. Li, S.L. Polk, Y. Lin, H. Zhang, J.M. Murphy, R.J. Plemmons, R.H. Chan.
"Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering."
IEEE Transactions on Geoscience and Remote Sensing, arXiv.2024
M. Werenski, S. Bin Masud and J.M. Murphy, and S. Aeron.
"On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection."
IEEE Transactions on Information Theory, arXiv.
2024
M. Werenski, J.M. Murphy, S. Aeron.
"Estimation of entropy-regularized optimal transport maps between non-compactly supported measures."
2023
N. Garcia Trillos, A. Little, D. McKenzie, and J.M. Murphy.
"Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms."
2023
M. Duchin, J.M. Murphy, T. Weighill.
"Measuring Segregation via Analysis on Graphs."
SIAM Journal on Matrix Analysis and Applications, arXiv.
2023
A. Tasissa, P. Tankala, J.M. Murphy, and D. Ba.
"K-Deep Simplex: Deep Manifold Learning via Local Dictionaries."
IEEE Transactions on Signal Processing, arXiv.
2023
S.L. Polk, K. Cui, A. Chan, D. Coomes, R.J. Plemmons, and J.M. Murphy.
"Unsupervised Diffusion and Volume Maximization-based Clustering Hyperspectral Images"
2023
S. Bin Masud, M. Werenski, J.M. Murphy, and S. Aeron.
"Multivariate Soft Rank Via Entropic Optimal Transport: Sample Efficiency and Generative Modeling"
Journal of Machine Learning Research, arXiv.
2023
J. Damjanovic, Y.-S. Lin, J.M. Murphy
"Modeling Changes in Molecular Dynamics Time Series as Wasserstein Barycentric Interpolations"
2023
M. Mueller, S. Aeron, J.M. Murphy, and A. Tasissa
"Geometric Sparse Coding in Wasserstein Space"
Topology, Algebra, and Geometry Workshop at ICML, arXiv.
2023
M. Werenski, R. Jiang, A. Tasissa, S. Aeron, and J.M. Murphy.
"Measure Estimation in the Barycentric Coding Model"
2022
K. Cui, R. Li, S.L. Polk, J.M. Murphy, R.J. Plemmons, and R.H. Chan.
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
2022
K. Devkota and H. Schmidt and M. Werenski and J.M. Murphy and M. Erden and V. Arsenescu and L.J. Cowen
"GLIDER: Function Prediction from GLIDE-based Neigborhoods."
2022
S.L. Polk, K. Cui, R.J. Plemmons, and J.M. Murphy.
Active diffusion and VCA-assisted image segmentation of hyperspectral images
2022
S.L. Polk, A.H.Y. Chan, K. Cui, R.J. Plemmons, D.A. Coomes, and J.M. Murphy.
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
2022
J.M. Murphy and S. Polk.
"A Multiscale Environment for Learning by Diffusion."
Applied and Computational Harmonic Analysis, arXiv.
2022
M. Duchin and J.M. Murphy.
"Measuring Clustering and Segregation."
2022
A. Little, D. McKenzie, and J.M. Murphy.
"Balancing Geometry and Density: Path Distances on High-Dimensional Data."
SIAM Journal on Mathematics of Data Science, arXiv.
2022
J. Damjanovic, J.M. Murphy, and Y.S. Lin.
"CATBOSS: Cluster analysis of trajectories based on segment splitting."
Journal of Chemical Information and Modeling.
2021
A. Tasissa, D. Nguyen, and J.M. Murphy.
"Deep Diffusion Processes for Active Learning of Hyperspectral Images."
2021
S. Polk and J.M. Murphy.
"Multiscale clustering of hyperspectral images through spectral-spatial diffusion geometry."
2021
S. Zhang and J.M. Murphy.
"Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics."
2021
L. Cowen, K. Devkota, X. Hu, J.M. Murphy, and K. Wu.
"Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks."
SIAM Journal on Mathematics of Data Science, arXiv.
2021
J.M. Murphy.
"Patch-Based Diffusion Learning for Hyperspectral Image Clustering."
2020
E. Gnang and J.M. Murphy.
"Spectral analysis for non-Hermitian matrics."
Linear Algebra and its Applications, arXiv.
2020
J.M. Murphy.
"Spatially regularized active diffusion learning for high-dimensional images."
Pattern Recognition Letters, arXiv.
2020
A. Little, M. Maggioni, and J.M. Murphy.
"Path-based spectral clustering: Guarantees, robustness to outliers, and fast algorithms."
Journal of Machine Learning Research, arXiv.
2020
K. Kashkooli, S.L. Polk, E.Y. Hahm, J.M. Murphy, B.R. Ethridge, J. Gitlin, R. Ibala, J. Mekonnen, J.C. Pedemonte, H. Sun, M.B. Westover, R. Barbieri, O. Akeju, S. Chamadia.
"Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models."
Journal of Neural Engineering.
2020
K. Devkota, J.M. Murphy and L. Cowen.
"GLIDE: Combining Local Methods and Diffusion State Embeddings to Predict Missing Interactions in Biological Networks"
2020
J.M. Murphy and M. Maggioni.
"Spectral-spatial diffusion geometry for hyperspectral image clustering."
IEEE Geoscience and Remote Sensing Letters, arXiv.
2020
M. Maggioni and J.M. Murphy.
"Learning by Unsupervised Nonlinear Diffusion."
Journal of Machine Learning Research, arXiv.
2019
J.M. Murphy and M. Maggioni.
"Unsupervised clustering and active learning of hyperspectral images with nonlinear diffusion."
IEEE Transactions on Geoscience and Remote Sensing.
2019
N. Kapsin and J.M. Murphy.
"Spatially regularized multiscale graph clustering for electron microscopy."
SPIE.
2019
J.M. Murphy and M. Maggioni.
"Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation."
2019
S.L.Polk, K. Kashkooli, S.B. Nagaraj, S. Chamadia, J.M. Murphy, H. Sun, M.B. Westover, R. Barbieri, and O. Akeju.
"Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features."
EMBC.
2019
K. Kashkooli, S.L. Polk, S. Chamadia, E. Hahm, B. Ethridge, J. Gitlin, R. Ibala, J. Mekonnen, J. Pedemonte, J.M. Murphy, H. Sun, M.B. Westover, and O. Akeju.
"Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System".
EMBC.
2019
M. Maggioni and J.M. Murphy.
"Learning by Active Nonlinear Diffusion."
Foundations of Data Science, arXiv.
2019
Y. Liu, B. Tracey, S. Aeron, E. Miller, J. Murphy, T. Sun, N. McDannold.
"Artifact Suppression for Passive Cavitation Imaging Using U-Net CNNs with Uncertainty Quantification."
2019
W. Czaja, J.M. Murphy, and D. Weinberg.
"Superresolution of Noisy Remotely Sensed Images Through Directional Representations."
IEEE Geoscience and Remote Sensing Letters, arXiv.
2018
W. Czaja, B. Manning, J.M. Murphy, and K. Stubbs.
"Discrete Directional Gabor Frames."
Applied and Computational Harmonic Analysis, arXiv.
2018
J.M. Murphy and M. Maggioni.
"Iterative active learning with diffusion geometry for hyperspectral images."
2018
J.M. Murphy and M. Maggioni.
"Diffusion geometric methods for fusion of remotely sensed data."
SPIE.
2018
E.J. King and J.M. Murphy.
"Diffusion geometric methods for fusion of remotely sensed data."
2017
J.M. Murphy and J. Le Moigne and D.J. Harding.
"Automatic image registration of multimodal remotely sensed data with global shearlet features."
IEEE Transactions on Geoscience and Remote Sensing.
2016
J.M. Murphy and O.N. Leija and J. Le Moigne.
"Agile multi-scale decompositions for automatic image registration."
SPIE.
2016
W. Czaja, L. McLean, B. Manning, and J.M. Murphy.
"Fusion of aerial gamma-ray survey and remote sensing data for a deeper understanding of radionuclide fate after radiological incidents: examples from the Fukushima Dai-Ichi response."
Journal of Radioanalytical and Nuclear Chemistry.
2016
J.M. Murphy and J. Le Moigne.
"Shearlet features for registration of remotely sensed multitemporal images."
2015
W. Czaja, D. Weinberg and J.M. Murphy.
"Superresolution of remotely sensed images with anisotropic features."
2015
E. Bosch, W. Czaja, D. Weinberg and J.M. Murphy.
"Anisotropic representations for superresolution of hyperspectral data."
SPIE.
2015
J.M. Murphy.
"Anisotropic harmonic analysis and integration of remotely sensed data."
2015
W. Czaja, T. Doster, and J.M. Murphy.
"Wavelet packet mixing for image fusion and pan-sharpening."
SPIE.
2014