Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Wojciech Czaja"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:10312-10327
Recent developments in machine learning and signal processing have resulted in many new techniques that are able to effectively capture the intrinsic yet complex properties of hyperspectral imagery (HSI). Tasks ranging from anomaly detection to class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab0d7a6f3b84bc2c917268704c354b51
https://doi.org/10.1109/tgrs.2020.3040203
https://doi.org/10.1109/tgrs.2020.3040203
Autor:
Michael Rozowski, Jonathan Palumbo, Jay Bisen, Chuan Bi, Mustapha Bouhrara, Wojciech Czaja, Richard G. Spencer
Publikováno v:
Magn Reson Chem
Many methods have been developed for estimating the parameters of biexponential decay signals, which arise throughout magnetic resonance relaxometry (MRR) and the physical sciences. This is an intrinsically ill-posed problem so that estimates can dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a93472f37a4eedf251759c72c1ecb943
https://europepmc.org/articles/PMC10185331/
https://europepmc.org/articles/PMC10185331/
Autor:
Wojciech Czaja, Yiran Li
Publikováno v:
The Journal of Geometric Analysis. 31:8999-9015
In this paper, we propose a new type of a neural network which is inspired by Gabor systems from harmonic analysis. In this regard, we construct a class of sparsely connected neural networks utilizing the concept of time–frequency shifts, and we sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27f5f6be3834673d39cfa9523f656629
https://doi.org/10.1007/s12220-020-00575-z
https://doi.org/10.1007/s12220-020-00575-z
Publikováno v:
SIAM Journal on Imaging Sciences. 13:176-213
This paper deals with tensor completion for the solution of multidimensional inverse problems arising in nuclear magnetic resonance (NMR) relaxometry. We study the problem of reconstructing an appr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fb261f7e3b89848df1fb43dc4508ad1
https://doi.org/10.1137/18m1193037
https://doi.org/10.1137/18m1193037
Publikováno v:
SIAM J Imaging Sci
We present an algorithm to solve the two-dimensional Fredholm integral of the first kind with tensor product structure from a limited number of measurements, with the goal of using this method to speed up nuclear magnetic resonance spectroscopy. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d477c70e42bd210c06e00080d689d6eb
https://pubmed.ncbi.nlm.nih.gov/34267858
https://pubmed.ncbi.nlm.nih.gov/34267858
Autor:
Brian Cesar-Tondreau, Weilin Li, Morgan McLean, John A. Peterson, Kevin Kochersberger, Wojciech Czaja, John Bird
Publikováno v:
Journal of Field Robotics. 36:818-845
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a12ee87542420e76511d619c7461765
https://doi.org/10.1002/rob.21867
https://doi.org/10.1002/rob.21867
Publikováno v:
WHISPERS
We explore feature space geometries induced by the 3-D Fourier scattering transform and deep neural network with extended attribute profiles on four standard hyperspectral images. We examine the distances and angles of class means, the variability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9603d6c2b40574721f80fe0f526a40e2
http://arxiv.org/abs/2103.01303
http://arxiv.org/abs/2103.01303