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相关论文: A global approach to the refinement of manifold da…

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Any procedure applied to data, and any quantity derived from data, is required to respect the nature and symmetries of the data. This axiom applies to refinement procedures and multiresolution transforms as well as to more basic operations…

数值分析 · 数学 2019-07-18 Johannes Wallner

We consider the problem of reconstructing missing data on a smooth manifold from incomplete and nonuniform samples. While classical methods for manifold approximation typically assume quasi-uniform data, their performance deteriorates…

数值分析 · 数学 2026-04-15 David Levin

Subdivision is a well-known and established method for generating smooth curves and surfaces from discrete data by repeated refinements. The typical input for such a process is a mesh of vertices. In this work we propose to refine 2D data…

图形学 · 计算机科学 2016-08-16 Evgeny Lipovetsky , Nira Dyn

In computer graphics, smooth data reconstruction on 2D or 3D manifolds usually refers to subdivision problems. Such a method is only valid based on dense sample points. The manifold usually needs to be triangulated into meshes (or patches)…

数值分析 · 数学 2011-05-30 Li Chen , Feng Luo

Modeling data using manifold values is a powerful concept with numerous advantages, particularly in addressing nonlinear phenomena. This approach captures the intrinsic geometric structure of the data, leading to more accurate descriptors…

数值分析 · 数学 2025-07-08 Wael Mattar , Nir Sharon

A simple greedy refinement procedure for the generation of data-adapted triangulations is proposed and studied. Given a function of two variables, the algorithm produces a hierarchy of triangulations and piecewise polynomial approximations…

数值分析 · 数学 2015-03-17 Albert Cohen , Nira Dyn , Frédéric Hecht , Jean-Marie Mirebeau

An adaptive refinement strategy, based on an equilibrated flux a posteriori error estimator, is proposed in the context of defeaturing problems. Defeaturing consists of removing features from complex domains to simplify mesh generation and…

数值分析 · 数学 2026-03-04 Annalisa Buffa , Denise Grappein , Rafael Vázquez

Depth estimation is an essential component in understanding the 3D geometry of a scene, with numerous applications in urban and indoor settings. These scenes are characterized by a prevalence of human made structures, which in most of the…

计算机视觉与模式识别 · 计算机科学 2020-09-03 Mattia Rossi , Mireille El Gheche , Andreas Kuhn , Pascal Frossard

Partition refinement is a method for minimizing automata and transition systems of various types. Recently, we have developed a partition refinement algorithm that is generic in the transition type of the given system and matches the run…

数据结构与算法 · 计算机科学 2019-07-11 Hans-Peter Deifel , Stefan Milius , Lutz Schröder , Thorsten Wißmann

We refine the bit complexity analysis of an algorithm for the computation of at least one point per connected component of a smooth real algebraic set, yielding exponential speedup (with respect to the number of variables) compared to prior…

符号计算 · 计算机科学 2025-08-29 Jesse Elliott , Mark Giesbrecht , Edern Gillot , Mohab Safey El Din , Éric Schost

Partition refinement is a method for minimizing automata and transition systems of various types. Recently, we have developed a partition refinement algorithm that is generic in the transition type of the given system and matches the run…

数据结构与算法 · 计算机科学 2020-11-26 Thorsten Wißmann , Hans-Peter Deifel , Stefan Milius , Lutz Schröder

It is often of interest to infer lower-dimensional structure underlying complex data. As a flexible class of non-linear structures, it is common to focus on Riemannian manifolds. Most existing manifold learning algorithms replace the…

机器学习 · 统计学 2026-01-27 David B Dunson , Nan Wu

Representing a manifold of very high-dimensional data with generative models has been shown to be computationally efficient in practice. However, this requires that the data manifold admits a global parameterization. In order to represent…

机器学习 · 计算机科学 2024-08-13 Giovanni S. Alberti , Johannes Hertrich , Matteo Santacesaria , Silvia Sciutto

Some methods based on simple regularizing geometric element transformations have heuristically been shown to give runtime efficient and quality effective smoothing algorithms for meshes. We describe the mathematical framework and a…

计算几何 · 计算机科学 2013-07-09 Dimitris Vartziotis , Benjamin Himpel

Subdivision schemes have become an important tool for approximation of manifold-valued functions. In this paper, we describe a construction of manifold-valued subdivision schemes for geodesically complete manifolds. Our construction is…

数值分析 · 数学 2016-11-25 Nira Dyn , Nir Sharon

In order to have a multiresolution analysis, the scaling function must be refinable. That is, it must be the linear combination of 2-dilation, $\mathbb{Z}$-translates of itself. Refinable functions used in connection with wavelets are…

信息论 · 计算机科学 2011-11-02 Emily J. King

With the emergence of mixed precision capabilities in hardware, iterative refinement schemes for solving linear systems $Ax=b$ have recently been revisited and reanalyzed in the context of three or more precisions. These new analyses show…

数值分析 · 数学 2022-02-17 Eda Oktay , Erin Carson

We present an adaptive refinement algorithm for T-splines on unstructured 2D meshes. While for structured 2D meshes, one can refine elements alternatingly in horizontal and vertical direction, such an approach cannot be generalized directly…

数值分析 · 数学 2022-05-03 Roland Maier , Philipp Morgenstern , Thomas Takacs

Single image surface normal estimation and depth estimation are closely related problems as the former can be calculated from the latter. However, the surface normals computed from the output of depth estimation methods are significantly…

计算机视觉与模式识别 · 计算机科学 2022-10-10 Gwangbin Bae , Ignas Budvytis , Roberto Cipolla

This paper discusses highly general mechanisms for specifying the refinement of a real-time system as a collection of lower level parallel components that preserve the timing and functional requirements of the upper level specification.…

计算机科学中的逻辑 · 计算机科学 2010-02-10 Paul Z. Kolano , Carlo A. Furia , Richard A. Kemmerer , Dino Mandrioli
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