Results 21 to 30 of about 258,672 (295)
B-Manifold/pytorch_fnet_UwUnet: v1.0.0
, 2020 Release for citable code.
B-Manifold
core +1 more source
Methodology for automatic recovering of 3D partitions from unstitched faces of non-manifold CAD models [PDF]
, 2013 Data exchanges between different software are currently used in industry to speed up the preparation of digital prototypes for Finite Element Analysis (FEA).
PERNOT, Jean-Philippe +1 more
core +1 more source
3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed
Journal of Imaging, 2016 Image segmentation is an important process that separates objects from the background and also from each other. Applied to cells, the results can be used for cell counting which is very important in medical diagnosis and treatment, and biological ...
Thomas Atta-Fosu +5 more
doaj +1 more source
Eigenvectors of the De-Rham Operator
Mathematics, 2023 We aim to examine the influence of the existence of a nonzero eigenvector ζ of the de-Rham operator Γ on a k-dimensional Riemannian manifold (Nk,g). If the vector ζ annihilates the de-Rham operator, such a vector field is called a de-Rham harmonic vector
Nasser Bin Turki +2 more
doaj +1 more source
Known Results and Open Problems in Hypercomplex Convexity
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2014 A subject, which is treated in this review, combines in one bundle some questions of convex, hypercomplex analysis, probability theory and geometry.
Zelinskii Yuri
doaj +1 more source
Molecules, 2017 Detecting genomes with similar expression patterns using clustering techniques plays an important role in gene expression data analysis. Non-negative matrix factorization (NMF) is an effective method for clustering the analysis of gene expression data ...
Rong Zhu +3 more
doaj +1 more source
3D MHD analysis of prototypical manifold for liquid metal blankets
Nuclear Fusion, 2023 The water-cooled lead lithium (WCLL) and the dual-cooled lead lithium (DCLL) are two of the breeding blanket (BB) concepts that the EUROfusion consortium is pursuing in the framework of the development of the fusion reactor industrial demonstrator DEMO ...
Simone Siriano +3 more
doaj +1 more source
Dimensionality Reduction Algorithms in Machine Learning: A Theoretical and Experimental Comparison
Engineering Proceedings, 2023 The goal of Feature Extraction Algorithms (FEAs) is to combat the dimensionality curse, which renders machine learning algorithms ineffective. The most representative FEAs are investigated conceptually and experimentally in our work.
Ashish Kumar Rastogi +2 more
doaj +1 more source
Manifold Learning via Manifold Deflation
CoRR, 2020 Nonlinear dimensionality reduction methods provide a valuable means to visualize and interpret high-dimensional data. However, many popular methods can fail dramatically, even on simple two-dimensional manifolds, due to problems such as vulnerability to noise, repeated eigendirections, holes in convex bodies, and boundary bias.
Daniel Ting, Michael I. Jordan
openaire +2 more sources
Journal of Physics A: Mathematical and Theoretical, 2012 This article propounds, in the wake of influential work of Fefferman and Graham about Poincaré extensions of conformal structures, a definition of a (Poincaré-)Schrödinger manifold whose boundary is endowed with a conformal Bargmann structure above a non-relativistic Newton-Cartan spacetime.
Duval, Christian, Lazzarini, Serge
openaire +3 more sources