Results 211 to 220 of about 29,252 (258)

Riemannian Newton Methods for Energy Minimization Problems of Kohn-Sham Type. [PDF]

J Sci Comput
Altmann R, Peterseim D, Stykel T.
europepmc   +1 more source

Data-driven modeling of subharmonic forced response due to nonlinear resonance. [PDF]

Sci Rep
Axås J, Bäuerlein B, Avila K, Haller G.   +3 more
europepmc   +1 more source

Lagrangian submanifolds [PDF]

, 2015
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Implicit Low-Rank Riemannian Schemes for the Time Integration of Stiff Partial Differential Equations. [PDF]

J Sci Comput
Sutti M, Vandereycken B.
europepmc   +1 more source

Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method. [PDF]

Sci Rep
Bi Y, Liu P, Zhang T, Shi J, Wang C.
europepmc   +1 more source

Projections of SDEs onto submanifolds. [PDF]

Inf Geom
Armstrong J, Brigo D, Ferrucci E.
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Obstructions to Topological Relaxation for Generic Magnetic Fields. [PDF]

Arch Ration Mech Anal
Enciso A, Peralta-Salas D.
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Curvature-adapted submanifolds

, 1992
Berndt, Jürgen, Vanhecke, Lieven
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Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions

European Conference on Computer Vision, 2020
In this work we target the problem of estimating accurately localised correspondences between a pair of images. We adopt the recent Neighbourhood Consensus Networks that have demonstrated promising performance for difficult correspondence problems and ...
Ignacio Rocco, Relja Arandjelovi'c, Josef Sivic   +2 more
semanticscholar   +1 more source

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph

IEEE Transactions on Cybernetics, 2020
Due to the multimodality of non-Gaussian data, traditional globality-preserved dimensionality reduction (DR) methods, such as linear discriminant analysis (LDA) and principal component analysis (PCA) are difficult to deal with.
F. Nie, Z. Wang, Rong Wang, Xuelong Li
semanticscholar   +1 more source