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James M. Murphy
James M. Murphy
Assistant Professor, Tufts University
Dirección de correo verificada de tufts.edu - Página principal
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Citado por
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Año
Unsupervised clustering and active learning of hyperspectral images with nonlinear diffusion
JM Murphy, M Maggioni
IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1829-1845, 2019
812019
Automatic image registration of multimodal remotely sensed data with global shearlet features
JM Murphy, J Le Moigne, DJ Harding
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1685-1704, 2016
752016
Path-based spectral clustering: Guarantees, robustness to outliers, and fast algorithms
A Little, M Maggioni, JM Murphy
Journal of Machine Learning Research 21 (6), 1-66, 2020
52*2020
Learning by Unsupervised Nonlinear Diffusion
M Maggioni, JM Murphy
Journal of Machine Learning Research 20 (160), 1-56, 2019
472019
Spectral-spatial diffusion geometry for hyperspectral image clustering
JM Murphy, M Maggioni
IEEE Geoscience and Remote Sensing Letters 17 (7), 1243-1247, 2020
282020
GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks
K Devkota, JM Murphy, LJ Cowen
Bioinformatics 36 (Supplement_1), i464-i473, 2020
222020
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 …
W Czaja, B Manning, L McLean, JM Murphy
Journal of Radioanalytical and Nuclear Chemistry 307, 2397-2401, 2016
172016
Shearlet features for registration of remotely sensed multitemporal images
JM Murphy, J Le Moigne
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
172015
Wavelet packet mixing for image fusion and pan-sharpening
W Czaja, T Doster, JM Murphy
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2014
172014
Learning by Active Nonlinear Diffusion
M Maggioni, JM Murphy
Foundations of Data Science 1 (3), 271-291, 2019
162019
Iterative active learning with diffusion geometry for hyperspectral images
JM Murphy, M Maggioni
2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018
152018
Diffusion geometric methods for fusion of remotely sensed data
JM Murphy, M Maggioni
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2018
152018
Balancing geometry and density: Path distances on high-dimensional data
A Little, D McKenzie, JM Murphy
SIAM Journal on Mathematics of Data Science 4 (1), 72-99, 2022
132022
A multiscale environment for learning by diffusion
JM Murphy, SL Polk
Applied and Computational Harmonic Analysis 57, 58-100, 2022
112022
Catboss: Cluster analysis of trajectories based on segment splitting
J Damjanovic, JM Murphy, YS Lin
Journal of Chemical Information and Modeling 61 (10), 5066-5081, 2021
112021
Spatially regularized active diffusion learning for high-dimensional images
JM Murphy
Pattern Recognition Letters 135, 213-220, 2020
112020
Multiscale clustering of hyperspectral images through spectral-spatial diffusion geometry
SL Polk, JM Murphy
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4688 …, 2021
102021
Discrete directional Gabor frames
W Czaja, B Manning, JM Murphy, K Stubbs
Applied and Computational Harmonic Analysis 45 (1), 1-21, 2018
102018
Diffusion state distances: multitemporal analysis, fast algorithms, and applications to biological networks
L Cowen, K Devkota, X Hu, JM Murphy, K Wu
SIAM Journal on Mathematics of Data Science 3 (1), 142-170, 2021
92021
Superresolution of remotely sensed images with anisotropic features
W Czaja, JM Murphy, D Weinberg
2015 International Conference on Sampling Theory and Applications (SampTA …, 2015
92015
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Artículos 1–20