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Sam L. Polk
Sam L. Polk
Technical Staff, MIT Lincoln Laboratory
Bestätigte E-Mail-Adresse bei ll.mit.edu
Titel
Zitiert von
Zitiert von
Jahr
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
K Cui, R Li, SL Polk, Y Lin, H Zhang, JM Murphy, RJ Plemmons, RH Chan
IEEE Transactions on Geoscience and Remote Sensing, 2024
232024
Unsupervised diffusion and volume maximization-based clustering of hyperspectral images
SL Polk, K Cui, AHY Chan, DA Coomes, RJ Plemmons, JM Murphy
Remote Sensing 15 (4), 1053, 2023
15*2023
A multiscale environment for learning by diffusion
JM Murphy, SL Polk
Applied and Computational Harmonic Analysis 57, 58-100, 2022
142022
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
122021
Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models
K Kashkooli, SL Polk, EY Hahm, J Murphy, BR Ethridge, J Gitlin, R Ibala, ...
Journal of neural engineering 17 (4), 046020, 2020
92020
Active diffusion and VCA-assisted image segmentation of hyperspectral images
SL Polk, K Cui, RJ Plemmons, JM Murphy
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
82022
The nonuniversality of wealth distribution tails near wealth condensation criticality
SL Polk, BM Boghosian
SIAM Journal on Applied Mathematics 81 (4), 1717-1741, 2021
82021
Unsupervised spatial-spectral hyperspectral image reconstruction and clustering with diffusion geometry
K Cui, R Li, SL Polk, JM Murphy, RJ Plemmons, RH Chan
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2022
62022
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
SL Polk, AHY Chan, K Cui, RJ Plemmons, DA Coomes, JM Murphy
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
52022
Automatic detection of general anesthetic-states using ECG-derived autonomic nervous system features
SL Polk, K Kashkooli, SB Nagaraj, S Chamadia, JM Murphy, H Sun, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
32019
Diffusion-based clustering of high-dimensional datasets
SL Polk
Tufts University, 2022
22022
Drug-specific models improve the performance of an EEG-based automated brain-state prediction system
K Kashkooli, SL Polk, S Chamadia, E Hahm, B Ethridge, J Gitlin, R Ibala, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
22019
Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment
KC Chang, R Jensen, R Paleja, SL Polk, R Seater, J Steilberg, ...
arXiv preprint arXiv:2412.17954, 2024
2024
Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment
K Chestnut Chang, R Jensen, R Paleja, SL Polk, R Seater, J Steilberg, ...
arXiv e-prints, arXiv: 2412.17954, 2024
2024
Unsupervised Behavior Inference From Human Action Sequences
SL Polk, EJP Cancel, R Paleja, KC Chang, R Jensen, MD Ramirez
2024 IEEE Conference on Games (CoG), 1-8, 2024
2024
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