Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Polk, Sam L."'
Autor:
Cui, Kangning, Li, Ruoning, Polk, Sam L., Lin, Yinyi, Zhang, Hongsheng, Murphy, James M., Plemmons, Robert J., Chan, Raymond H.
Hyperspectral images (HSIs) provide exceptional spatial and spectral resolution of a scene, crucial for various remote sensing applications. However, the high dimensionality, presence of noise and outliers, and the need for precise labels of HSIs pre
Externí odkaz:
http://arxiv.org/abs/2312.15447
Autor:
Cui, Kangning, Li, Ruoning, Polk, Sam L., Murphy, James M., Plemmons, Robert J., Chan, Raymond H.
Hyperspectral images, which store a hundred or more spectral bands of reflectance, have become an important data source in natural and social sciences. Hyperspectral images are often generated in large quantities at a relatively coarse spatial resolu
Externí odkaz:
http://arxiv.org/abs/2204.13497
Autor:
Polk, Sam L., Chan, Aland H. Y., Cui, Kangning, Plemmons, Robert J., Coomes, David A., Murphy, James M.
Ash dieback (Hymenoscyphus fraxineus) is an introduced fungal disease that is causing the widespread death of ash trees across Europe. Remote sensing hyperspectral images encode rich structure that has been exploited for the detection of dieback dise
Externí odkaz:
http://arxiv.org/abs/2204.09041
Hyperspectral images encode rich structure that can be exploited for material discrimination by machine learning algorithms. This article introduces the Active Diffusion and VCA-Assisted Image Segmentation (ADVIS) for active material discrimination.
Externí odkaz:
http://arxiv.org/abs/2204.06298
Autor:
Polk, Sam L., Cui, Kangning, Chan, Aland H. Y., Coomes, David A., Plemmons, Robert J., Murphy, James M.
Publikováno v:
Remote Sens. 2023, 15(4), 1053
Hyperspectral images taken from aircraft or satellites contain information from hundreds of spectral bands, within which lie latent lower-dimensional structures that can be exploited for classifying vegetation and other materials. A disadvantage of w
Externí odkaz:
http://arxiv.org/abs/2203.09992
Autor:
Polk, Sam L., Murphy, James M.
Clustering algorithms partition a dataset into groups of similar points. The primary contribution of this article is the Multiscale Spatially-Regularized Diffusion Learning (M-SRDL) clustering algorithm, which uses spatially-regularized diffusion dis
Externí odkaz:
http://arxiv.org/abs/2103.15783
Autor:
Murphy, James M., Polk, Sam L.
Clustering algorithms partition a dataset into groups of similar points. The clustering problem is very general, and different partitions of the same dataset could be considered correct and useful. To fully understand such data, it must be considered
Externí odkaz:
http://arxiv.org/abs/2102.00500
Autor:
Polk, Sam L., Boghosian, Bruce M.
Publikováno v:
SIAM Journal on Applied Mathematics 81, no. 4 (2021): 1717-1741
In this work, we modify the affine wealth model of wealth distributions to examine the effects of nonconstant redistribution on the very wealthy. Previous studies of this model, restricted to flat redistribution schemes, have demonstrated the presenc
Externí odkaz:
http://arxiv.org/abs/2006.15008
Autor:
Murphy, James M., Polk, Sam L.
Publikováno v:
In Applied and Computational Harmonic Analysis March 2022 57:58-100
Autor:
Polk, Sam L.1 (AUTHOR), Cui, Kangning2 (AUTHOR), Chan, Aland H. Y.3,4 (AUTHOR), Coomes, David A.3,4 (AUTHOR), Plemmons, Robert J.5 (AUTHOR), Murphy, James M.1 (AUTHOR) jm.murphy@tufts.edu
Publikováno v:
Remote Sensing. Feb2023, Vol. 15 Issue 4, p1053. 25p.