Results 1 to 10 of about 12,132 (264)
SVRS: self-supervised 3D voxel reconstruction network from stereo vision [PDF]
Scientific ReportsThree-dimensional voxel reconstruction based on stereo vision is essential for environmental perception in autonomous robots. Existing pseudo-LiDAR methods recover voxel grids by estimating depth maps and projecting them pixel by pixel, leading to high ...
Zhengyang Zou +4 more
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A Multigrid Method for Adaptive Sparse Grids [PDF]
SIAM Journal of Scientific Computing, 2015 Summary: Sparse grids have become an important tool to reduce the number of degrees of freedom of discretizations of moderately high-dimensional partial differential equations; however, the reduction in degrees of freedom comes at the cost of an almost dense and unconventionally structured system of linear equations.
Benjamin Peherstorfer
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UNCERTAINTY QUANTIFICATION IN STEADY STATE SIMULATIONS OF A MOLTEN SALT SYSTEM USING POLYNOMIAL CHAOS EXPANSION ANALYSIS [PDF]
EPJ Web of Conferences, 2021 Uncertainty Quantification (UQ) of numerical simulations is highly relevant in the study and design of complex systems. Among the various approaches available, Polynomial Chaos Expansion (PCE) analysis has recently attracted great interest. It belongs to
Santanoceto Mario +4 more
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Sparse Grid Adaptive Interpolation in Problems of Modeling Dynamic Systems with Interval Parameters
Mathematics, 2021 The paper is concerned with the issues of modeling dynamic systems with interval parameters. In previous works, the authors proposed an adaptive interpolation algorithm for solving interval problems; the essence of the algorithm is the dynamic ...
Alexander Yu Morozov +2 more
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Spherical Grid Creation and Modeling Using the Galerkin Compiler GC_Sphere
Atmosphere, 2023 The construction of spherical grids is, to a large extent, a question of organized programming. Such grids come in the form of rhomboidal/triangular grids and hexagonal grids.
Jürgen Steppeler
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Adaptive Sparse Grids with Nonlinear Basis in Interval Problems for Dynamical Systems
Computation, 2023 Problems with interval uncertainties arise in many applied fields. The authors have earlier developed, tested, and proved an adaptive interpolation algorithm for solving this class of problems.
Alexander Yu. Morozov +1 more
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Kernel Interpolation with Sparse Grids
Advances in Neural Information Processing Systems 35, 2022 Structured kernel interpolation (SKI) accelerates Gaussian process (GP) inference by interpolating the kernel covariance function using a dense grid of inducing points, whose corresponding kernel matrix is highly structured and thus amenable to fast linear algebra.
Mohit Yadav +2 more
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A global geographic grid system for visualizing bathymetry [PDF]
Geoscientific Instrumentation, Methods and Data Systems, 2020 A global geographic grid system (Global GGS) is here introduced to support the display of gridded bathymetric data at whatever resolution is available in a visually seamless manner.
C. Ware +4 more
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Frontiers in Signal Processing, 2022 Conventional individual head-related transfer function (HRTF) measurements are demanding in terms of measurement time and equipment. For more flexibility, free body movement (FBM) measurement systems provide an easy-to-use way to measure full-spherical ...
David Bau +3 more
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Shock and Vibration, 2021 For the vibro-acoustic system with interval and random uncertainties, polynomial chaos expansions have received broad and persistent attention. Nevertheless, the cost of the computation process increases sharply with the increasing number of uncertain ...
Shengwen Yin, Xiaohan Zhu, Xiang Liu
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