Results 31 to 40 of about 123,651 (276)
Exact results on some nonlinear Laguerre-type diffusion equations
Mathematical Modelling and Analysis, 2021 In this paper we obtain some new explicit results for nonlinear equations involving Laguerre derivatives in space and/or in time. In particular, by using the invariant subspace method, we have many interesting cases admitting exact solutions in terms of ...
Roberto Garra, Zivorad Tomovski
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Searching for Subspace Trails and Truncated Differentials
IACR Transactions on Symmetric Cryptology, 2018 Grassi et al. [Gra+16] introduced subspace trail cryptanalysis as a generalization of invariant subspaces and used it to give the first five round distinguisher for Aes.
Gregor Leander +2 more
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On the Geometry in the Large of Einstein-like Manifolds
Mathematics, 2022 Gray has presented the invariant orthogonal irreducible decomposition of the space of all covariant tensors of rank 3, obeying only the identities of the gradient of the Ricci tensor.
Josef Mikeš +3 more
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Transformation invariance in hand shape recognition [PDF]
, 2006 In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations.
Coogan, Thomas, Sutherland, Alistair
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Archives of Acoustics, 2016 Subspace-based methods have been effectively used to estimate enhanced speech from noisy speech samples. In the traditional subspace approaches, a critical step is splitting of two invariant subspaces associated with signal and noise via subspace ...
Chengli SUN, Jianxiao XIE, Yan LENG
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International Journal of Differential Equations, 2016 We investigate the symmetry properties of a variable coefficient space-time fractional potential Burgers’ equation. Fractional Lie symmetries and corresponding infinitesimal generators are obtained.
Manoj Gaur, K. Singh
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MEG source localization using invariance of noise space.
PLoS ONE, 2013 We propose INvariance of Noise (INN) space as a novel method for source localization of magnetoencephalography (MEG) data. The method is based on the fact that modulations of source strengths across time change the energy in signal subspace but leave the
Junpeng Zhang +3 more
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The parameterization method for invariant manifolds I: Manifolds associated to non-resonant subspaces [PDF]
Indiana University Mathematics Journal, 2003 We introduce a method to prove existence of invariant manifolds and, at the same time to find simple polynomial maps which are conjugated to the dynamics on them. As a first application, we consider the dynamical system given by a Cr map F in a Banach space X close to a fixed point: F(x) = Ax + N(x), A linear, N(0) = 0, DN(0) = 0 ...
Cabré Vilagut, Xavier +2 more
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Pivot-Guided Embedding for Domain Generalization
IEEE Access, 2022 Neural networks have suffered from a distribution gap between training and test data, known as domain shift. Domain generalization (DG) methods aim to learn domain invariant representations only with limited source domain data to cope with unseen target ...
Hyun Seok Seong +3 more
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Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling
Tomography, 2021 To accelerate data acquisition speed in magnetic resonance imaging (MRI), multiple slices are simultaneously acquired using multiband pulses. Simultaneous multislice (SMS) imaging typically unfolds slice aliasing from the acquired collapsed slices.
Sugil Kim, Suhyung Park
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