Li, Qiang - Resultados de la búsqueda - Depósito Digital de Documentos de la UAB

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18 p, 2.2 MB

Interpretation of coal compositional data on whole-coal versus ash bases through the weighted symmetric pivot coordinates method / Xu, Na (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ; Wang, Ru (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ; Engle, Mark A. (University of Texas at El Paso. Department of Earth, Environmental and Resource Sciences) ; Zhu, Wei (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ; Li, Qiang (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ; Wang, Zhiwei (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering)
In addition to approaches based on a number of physical and chemical analyses, statistical methods have been commonly used for determining the modes of occurrence of elements in coal. The Pearson correlation coefficient of element concentrations vs. [...]
2023 - DOI (Digital Object Identifier)

10.57645/20.8080.02.12
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 345-362

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45 p, 19.6 MB

Contrast sensitivity functions in autoencoders / Li, Qiang (Universitat de Valencia. Laboratori de Processament d'imatges) ; Gomez-Villa, Alex (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Bertalmío, Marcelo (Consejo Superior de Investigaciones Científicas. Instituto de Óptica) ; Malo, Jesús (Universitat de Valencia. Laboratori de Processament d'imatges)
Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images. Here we reassess the relevance of low-level vision tasks in the explanation of the contrast sensitivity functions (CSFs) in light of 1) the current trend of using artificial neural networks for studying vision, and 2) the current knowledge of retinal image representations. [...]
2022 - DOI (Digital Object Identifier)

10.1167/jov.22.6.8
Journal of Vision, Vol. 22, Issue 6 (May 2022) , art. 8

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