Zobrazeno 1 - 10
of 684
pro vyhledávání: '"Nonnegative tensor"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Tucker decomposition is widely used for image representation, data reconstruction, and machine learning tasks, but the calculation cost for updating the Tucker core is high. Bilevel form of triple decomposition (TriD) overcomes this issue by
Externí odkaz:
https://doaj.org/article/c9ac5f36b9a44d1d896e387d7635d1c0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9533-9548 (2024)
Hyperspectral unmixing (HU), an essential procedure for various environmental applications, has garnered significant attention within remote sensing communities. Among different groups of HU methods, nonnegative matrix factorization (NMF)-based ones
Externí odkaz:
https://doaj.org/article/a00de170383941be949b567ea6f4ca32
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9628-9644 (2024)
The purpose of hyperspectral unmixing (HU) is to extract the spectral signatures and their proportion fractions from the hyperspectral remote sensing image (HSIs), which is a crucial issue in HSIs processing. Recently, nonnegative tensor factorizatio
Externí odkaz:
https://doaj.org/article/de5916551f184792ae306aa1cc418cfa
Autor:
Panpan Liu, Hongbin Lv
Publikováno v:
AIMS Mathematics, Vol 9, Iss 1, Pp 205-217 (2024)
In this paper, we introduced $ s $-index weakly positive tensors and discussed the calculation of the spectral radius of this kind of nonnegative tensors. Using the diagonal similarity transformation of tensor and Perron-Frobenius theory of nonnegati
Externí odkaz:
https://doaj.org/article/0f06a33435ba45eebc90146c99741ddf
Autor:
Melih Barsbey, Ali Taylan Cemgil
Publikováno v:
IEEE Access, Vol 11, Pp 85770-85784 (2023)
Accurately representing periodic behavior is a frequently encountered challenge in modeling time series. This is especially true for observations where multiple, nested seasonalities are present, which is often encountered in data that pertain to col
Externí odkaz:
https://doaj.org/article/97dd10a581c84acfba452c7930c06535
Akademický článek
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Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 10113-10130 (2022)
Hyperspectral unmixing aims to separate pure materials and their corresponding proportions that constitute the mixed pixels of hyperspectral imagery (HSI). Recently, the matrix-vector nonnegative tensor factorization (MV-NTF) has attracted wide atten
Externí odkaz:
https://doaj.org/article/40fa84e2895b4a61b848f6855943532d
Akademický článek
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Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-16 (2021)
Abstract Detecting and delineating hot spots in data from radiation sensors is required in applications ranging from monitoring large geospatial areas to imaging small objects in close proximity. This paper describes a computational method for locali
Externí odkaz:
https://doaj.org/article/694d5a015fd948eb9e5d3b9a95797b0d