Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alejandro Ehrenfeld"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)
Abstract This paper introduces a new latent variable probabilistic framework for representing spectral data of high spatial and spectral dimensionality, such as hyperspectral images. We use a generative Bayesian model to represent the image formation
Externí odkaz:
https://doaj.org/article/1b5285902e744f3bab103cc8f3a6311a
Autor:
Alejandro Ehrenfeld, Álvaro F. Egaña, Felipe Santibañez-Leal, Felipe Garrido, Marcia Ojeda, Brian Townley, Felipe Navarro
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract Supervised analysis using spectral data requires a well-informed characterisation of the response variables and abundant spectral data points. The presented hyperspectral dataset comes from five sets of geometallurgical samples, each charact
Externí odkaz:
https://doaj.org/article/42178d97cecc4b46baa41dfd45c9c309
Autor:
Álvaro F. Egaña, Felipe A. Santibáñez-Leal, Christian Vidal, Gonzalo Díaz, Sergio Liberman, Alejandro Ehrenfeld
Publikováno v:
Minerals, Vol 10, Iss 12, p 1139 (2020)
Most mining companies have registered important amounts of drill core composite spectra using different acquisition equipment and by following diverse protocols. These companies have used classic spectrography based on the detection of absorption fea
Externí odkaz:
https://doaj.org/article/16c5aa098bb64bc0ac4dc7d4f20d56e5
Autor:
Gonzalo Díaz, Alejandro Ehrenfeld, Felipe A. Santibáñez-Leal, Alvaro Egaña, Christian Vidal, Sergio Liberman
Publikováno v:
Minerals
Volume 10
Issue 12
Minerals, Vol 10, Iss 1139, p 1139 (2020)
Volume 10
Issue 12
Minerals, Vol 10, Iss 1139, p 1139 (2020)
Most mining companies have registered important amounts of drill core composite spectra using different acquisition equipment and by following diverse protocols. These companies have used classic spectrography based on the detection of absorption fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a76d5ddf952cebfc10b3890cdd9aa784
https://doi.org/10.3390/min10121139
https://doi.org/10.3390/min10121139