Results 11 to 20 of about 3,251,963 (366)
MIONet: Learning multiple-input operators via tensor product [PDF]
SIAM Journal on Scientific Computing, 2022 As an emerging paradigm in scientific machine learning, neural operators aim to learn operators, via neural networks, that map between infinite-dimensional function spaces. Several neural operators have been recently developed.
Pengzhan Jin, Shuai Meng, Lu Lu
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Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators [PDF]
Nature Machine Intelligence, 2019 It is widely known that neural networks (NNs) are universal approximators of continuous functions. However, a less known but powerful result is that a NN with a single hidden layer can accurately approximate any nonlinear continuous operator.
Lu Lu +4 more
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ECO: Efficient Convolution Operators for Tracking [PDF]
Computer Vision and Pattern Recognition, 2016 In recent years, Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in tracking. However, in the pursuit of ever increasing tracking performance, their characteristic speed and real-time capability have
Martin Danelljan +3 more
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Generalizations of AM-GM-HM means inequalities
AIMS Mathematics, 2023 In this paper, we showed some generalized refinements and reverses of arithmetic-geometric-harmonic means (AM-GM-HM) inequalities due to Sababheh [J. Math. Inequal. 12 (2018), 901–920].
Yonghui Ren
doaj +1 more source
A Critical Scoping Review of Pesticide Exposure Biomonitoring Studies in Overhead Cultures
Toxics, 2022 The exposure of operators, workers, residents and bystanders to pesticides is of high potential concern. Yet, reports on pesticide residues in the environment and near treated fields often spark debates if such findings might indicate a health risk ...
Christian Tobias Willenbockel +6 more
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Multimodal Technologies and Interaction, 2022 The automation of our vehicles is an all-present topic with great benefits for society, particularly in the area of public transport and pilot projects of automated shuttle buses are already underway. However, they do not show the full potential of using
Martina Schuß +2 more
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Localized Frames and Compactness [PDF]
, 2015 We introduce the concept of weak-localization for generalized frames and use this concept to define a class of weakly localized operators. This class contains many important operators, including: Short Time Fourier Transform multipliers, Calderon ...
Batayneh, Fawwaz, Mitkovski, Mishko
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Matrices related to some Fock space operators [PDF]
Opuscula Mathematica, 2011 Matrices of operators with respect to frames are sometimes more natural and easier to compute than the ones related to bases. The present work investigates such operators on the Segal-Bargmann space, known also as the Fock space.
Krzysztof Rudol
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Ultra-Weak Time Operators of Schroedinger Operators [PDF]
, 2016 In an abstract framework, a new concept on time operator, ultra-weak time operator, is introduced, which is a concept weaker than that of weak time operator. Theorems on the existence of an ultra-weak time operator are established.
Arai, Asao, Hiroshima, Fumio
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Operational Phase Operators and Hermitian Phase Operators [PDF]
Progress of Theoretical Physics, 2003 Summary: It is shown that there exist two kinds of operational (or measured) phase operators, those of the Hradil type [\textit{Z. Hradil}, Phys. Rev. A 47, 4532--4534 (1993)] defined on the entire Hilbert space, and those of the Noh-Fougères-Mandel type [\textit{J. W. Noh, A. Fougères} and \textit{L. Mandel}, Phys. Rev.
openaire +2 more sources