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Related papers: Some attempts toward 3-dimensional Phyllotaxy

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We address 2D floorplan reconstruction from 3D scans. Existing approaches typically employ heuristically designed multi-stage pipelines. Instead, we formulate floorplan reconstruction as a single-stage structured prediction task: find a…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Yuanwen Yue , Theodora Kontogianni , Konrad Schindler , Francis Engelmann

Datasets with non-trivial large scale topology can be hard to embed in low-dimensional Euclidean space with existing dimensionality reduction algorithms. We propose to model topologically complex datasets using vector bundles, in such a way…

Computational Geometry · Computer Science 2023-03-17 Luis Scoccola , Jose A. Perea

Inspired by protein folding, we explored the construction of three-dimensional structures and machines from one-dimensional chains of simple building blocks. This approach not only allows us to recreate the self-replication mechanism…

Computation and Language · Computer Science 2024-08-15 Ralph P. Lano

For a pointed topological space $X$, we use an inductive construction of a simplicial resolution of $X$ by wedges of spheres to construct a "higher homotopy structure" for $X$ (in terms of chain complexes of spaces). This structure is then…

Algebraic Topology · Mathematics 2021-11-10 David Blanc , Mark W. Johnson , James M. Turner

The aim of this note is to present a construction of symplectic structures on orientable globally hyperbolic 4-dimensional lorentzian manifolds. Said structures are defined on the manifold itself, not on its cotangent bundle. It also…

General Mathematics · Mathematics 2025-10-13 Romero Solha

This survey article describes the algorithmic approaches successfully used over the time to construct hyperbolic structures on 3-dimensional topological "objects" of various types, and to classify several classes of such objects using such…

Geometric Topology · Mathematics 2010-03-26 Carlo Petronio

We give two low-complexity algorithms, one for dimensionality reduction and one for dimensionality increase, which are applicable to any dataset, regardless of whether the set has an intrinsic dimension or not. The corresponding methods…

General Mathematics · Mathematics 2025-12-16 Nicholas J. Daras

In an earlier paper we explained how to convert the problem of symplectically embedding one 4-dimensional ellipsoid into another into the problem of embedding a certain set of disjoint balls into \CP^2 by using a new way to desingularize…

Symplectic Geometry · Mathematics 2014-02-26 Dusa McDuff

We develop an algorithm to construct new self-similar space-filling packings of spheres. Each topologically different configuration is characterized by its own fractal dimension. We also find the first bi-cromatic packing known up to now.

Condensed Matter · Physics 2007-05-23 Reza Mahmoodi Baram , Hans J. Herrmann

The symplectization of an overtwisted contact structure in Euclidean 3--space is shown to be an exotic symplectic structure on Euclidean 4--space. The technique can be extended to produce exotic symplectic structures in higher dimensional…

Symplectic Geometry · Mathematics 2014-03-03 Roger Casals

We give finiteness results and some classifications up to diffeomorphism of minimal strong symplectic fillings of Seifert fibered spaces over S^2 satisfying certain conditions, with a fixed natural contact structure. In some cases we can…

Geometric Topology · Mathematics 2015-08-18 Laura Starkston

We provide efficient constant factor approximation algorithms for the problems of finding a hierarchical clustering of a point set in any metric space, minimizing the sum of minimimum spanning tree lengths within each cluster, and in the…

Computational Geometry · Computer Science 2009-07-08 David Eppstein

Understanding quantum phases and phase transitions in the presence of symmetries is a central objective of quantum many-body physics. A powerful modern paradigm for investigating this problem is topological holography, which relates…

Strongly Correlated Electrons · Physics 2026-05-01 Shang Liu

The aim of this paper is to verify that the study of generic conformally flat hypersurfaces in 4-dimensional space forms is reduced to a surface theory in the standard 3-sphere. The conformal structure of generic conformally flat…

Differential Geometry · Mathematics 2020-08-27 Yoshihiko Suyama

This is a summary of some of the basic facts about flat 2-orbifold groups, otherwise known as 2-dimensional crystallographic groups. We relate the geometric and topological presentations of these groups, and consider structures…

Group Theory · Mathematics 2017-08-15 J. A. Hillman

Continuing the investigations of Harborth (1974) and the author (2002) we study the following two rather basic problems on sphere packings. Recall that the contact graph of an arbitrary finite packing of unit balls (i.e., of an arbitrary…

Metric Geometry · Mathematics 2013-02-13 Karoly Bezdek

In this paper, helicoidal flat surfaces in the $3$-dimensional sphere $\mathbb{S}^3$ are considered. A complete classification of such surfaces is given in terms of their first and second fundamental forms and by linear solutions of the…

Differential Geometry · Mathematics 2016-01-20 Fernando Manfio , João Paulo dos Santos

We tackle the challenging problem of creating full and accurate three dimensional reconstructions of botanical trees with the topological and geometric accuracy required for subsequent physical simulation, e.g. in response to wind forces.…

Computer Vision and Pattern Recognition · Computer Science 2018-12-24 Ed Quigley , Winnie Lin , Yilin Zhu , Ronald Fedkiw

We consider causal 3-dimensional triangulations with the topology of $S^2\times [0,1]$ or $D^2\times [0,1]$ where $S^2$ and $D^2$ are the two-dimensional sphere and disc, respectively. These triangulations consist of slices and we show that…

Mathematical Physics · Physics 2021-01-29 Bergfinnur Durhuus , Thordur Jonsson

Majority of the current dimensionality reduction or retrieval techniques rely on embedding the learned feature representations onto a computable metric space. Once the learned features are mapped, a distance metric aids the bridging of gaps…

Computer Vision and Pattern Recognition · Computer Science 2018-10-17 Muhammad Kamran Janjua , Shah Nawaz , Alessandro Calefati , Ignazio Gallo