Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Simões, Miguel"'
Autor:
Isabel Simões Miguel
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Externí odkaz:
https://doaj.org/article/4bdd0d0d120842609160cf992b253d3f
Autor:
Simões, Miguel
A class of algorithms comprised by certain semismooth Newton and active-set methods is able to solve convex minimization problems involving sparsity-inducing regularizers very rapidly; the speed advantage of methods from this class is a consequence o
Externí odkaz:
http://arxiv.org/abs/2112.03790
Publikováno v:
Eur Sig Proc Conf (EUSIPCO), 2021, pp 2089-2093
In large-scale optimization, the presence of nonsmooth and nonconvex terms in a given problem typically makes it hard to solve. A popular approach to address nonsmooth terms in convex optimization is to approximate them with their respective Moreau e
Externí odkaz:
http://arxiv.org/abs/2103.08533
Recent advances in time series classification have largely focused on methods that either employ deep learning or utilize other machine learning models for feature extraction. Though successful, their power often comes at the requirement of computati
Externí odkaz:
http://arxiv.org/abs/2007.06682
Many of the algorithms used to solve minimization problems with sparsity-inducing regularizers are generic in the sense that they do not take into account the sparsity of the solution in any particular way. However, algorithms known as semismooth New
Externí odkaz:
http://arxiv.org/abs/1806.04561
Publikováno v:
Veterinary Sciences; Nov2024, Vol. 11 Issue 11, p574, 11p
In image deconvolution problems, the diagonalization of the underlying operators by means of the FFT usually yields very large speedups. When there are incomplete observations (e.g., in the case of unknown boundaries), standard deconvolution techniqu
Externí odkaz:
http://arxiv.org/abs/1602.01410
Autor:
Loncan, Laetitia, Almeida, Luis B., Bioucas-Dias, José M., Briottet, Xavier, Chanussot, Jocelyn, Dobigeon, Nicolas, Fabre, Sophie, Liao, Wenzhi, Licciardi, Giorgio A., Simões, Miguel, Tourneret, Jean-Yves, Veganzones, Miguel A., Vivone, Gemine, Wei, Qi, Yokoya, Naoto
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in
Externí odkaz:
http://arxiv.org/abs/1504.04531
Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and high spatial resolutions. The problem of inferring images which combine
Externí odkaz:
http://arxiv.org/abs/1411.4005
Hyperspectral remote sensing images (HSIs) are characterized by having a low spatial resolution and a high spectral resolution, whereas multispectral images (MSIs) are characterized by low spectral and high spatial resolutions. These complementary ch
Externí odkaz:
http://arxiv.org/abs/1403.8098