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Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where until recently solely reserved to numerical data. Within the…

Computer Vision and Pattern Recognition · Computer Science 2008-10-21 François-Xavier Dupé , Luc Brun

Morphological analysis of the left atrial appendage is an important tool to assess risk of ischemic stroke. Most deep learning approaches for 3D segmentation is guided by binary labelmaps, which results in voxelized segmentations unsuitable…

Image and Video Processing · Electrical Eng. & Systems 2019-08-29 Kristine Aavild Juhl , Rasmus Reinhold Paulsen , Anders Bjorholm Dahl , Vedrana Andersen Dahl , Ole de Backer , Klaus Fuglsang Kofoed , Oscar Camara

This article deals with the notion of factorability. Elements of a factorable group or monoid possess a normal form, which leads to a small complex homotopy equivalent to its bar complex, thus computing its homology. We investigate the…

Group Theory · Mathematics 2014-12-10 Alexander Heß , Viktoriya Ozornova

This article introduces a finite piecewise Euclidean cell complex homeomorphic to the space of monic centered complex polynomials of degree $d$ whose critical values lie in a fixed closed rectangular region. We call this the branched…

Geometric Topology · Mathematics 2024-10-07 Michael Dougherty , Jon McCammond

We present new combinatorial objects, which we call grid-labelled graphs, and show how these can be used to represent the quantum states arising in a scenario which we refer to as the faulty emitter scenario: we have a machine designed to…

Quantum Physics · Physics 2016-05-12 Joshua Lockhart , Simone Severini

A path-following control algorithm enables a system's trajectories under its guidance to converge to and evolve along a given geometric desired path. There exist various such algorithms, but many of them can only guarantee local convergence…

Systems and Control · Electrical Eng. & Systems 2022-02-22 Weijia Yao , Bohuan Lin , Brian D. O. Anderson , Ming Cao

Vector fields and line fields, their counterparts without orientations on tangent lines, are familiar objects in the theory of dynamical systems. Among the techniques used in their study, the Morse--Smale decomposition of a (generic) field…

Computational Geometry · Computer Science 2020-02-19 Tiago Novello , João Paixão , Carlos Tomei , Thomas Lewiner

Node-link diagrams are a popular method for representing graphs that capture relationships between individuals, businesses, proteins, and telecommunication endpoints. However, node-link diagrams may fail to convey insights regarding graph…

Social and Information Networks · Computer Science 2023-09-20 Paul Rosen , Mustafa Hajij , Bei Wang

In this paper, we propose a new type of graph, denoted as "embedded-graph", and its theory, which employs a distributed representation to describe the relations on the graph edges. Embedded-graphs can express linguistic and complicated…

Discrete Mathematics · Computer Science 2017-09-15 Atsushi Yokoyama

Time-delay embedding is a fundamental technique in Topological Data Analysis (TDA) for reconstructing the phase space dynamics of time-series data. Persistent homology effectively identifies global topological features, such as loops…

Statistics Theory · Mathematics 2026-04-21 Donghyun Park , Junhyun An , Taehyoung Kim , Jisu Kim

In earlier work the Kauffman bracket polynomial was extended to an invariant of marked graphs, i.e., looped graphs whose vertices have been partitioned into two classes (marked and not marked). The marked-graph bracket polynomial is readily…

Geometric Topology · Mathematics 2009-11-16 Lorenzo Traldi

Consider the space of continuous functions on a geometric tree $X$ whose persistent homology gives rise to a finite generic barcode $D$. We show that there are exactly as many path connected components in this space as there are merge trees…

Algebraic Topology · Mathematics 2023-03-29 David Beers , Jacob Leygonie

Brain fiber tracts are widely used in studying brain diseases, which may lead to a better understanding of how disease affects the brain. The segmentation of brain fiber tracts assumed enormous importance in disease analysis. In this paper,…

Neurons and Cognition · Quantitative Biology 2020-11-04 Chaoqing Xu , Guodao Sun , Ronghua Liang , Xiufang Xu

In math.AG/0407496, a new construction of limit linear series is presented which functorializes and compactifies the original construction of Eisenbud and Harris, using a new space called the linked Grassmannian. The boundary of the…

Algebraic Geometry · Mathematics 2007-05-23 Brian Osserman

We investigate topological phases induced by a driven electric field coupled to a dimer chain (a model for poly-acetylene) at high frequency regime. It is shown how the topological invariant of the system can be controlled by the field…

Mesoscale and Nanoscale Physics · Physics 2017-09-19 Fatemeh Askari Shahid , Hosein Cheraghchi

Machine learning for remote sensing imaging relies on up-to-date and accurate labels for model training and testing. Labelling remote sensing imagery is time and cost intensive, requiring expert analysis. Previous labelling tools rely on…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Tulsi Patel , Mark W. Jones , Thomas Redfern

In the context of discrete Morse theory, we introduce Morse frames, which are maps that associate a set of critical simplexes to all simplexes. The main example of Morse frames are the Morse references. In particular, these Morse references…

Discrete Mathematics · Computer Science 2026-03-30 Gilles Bertrand , Laurent Najman

In this paper we use the gradient flow equation introduced in [10] to construct a Morse complex for the Hamiltonian action $\mathbb A_H$ on a mixed regularity space of loops in the cotangent bundle $T^*M$ of a closed manifold $M$.…

Symplectic Geometry · Mathematics 2025-01-28 L. Asselle , M. Starostka

Understanding and predicting thermal transport in disordered materials remains a significant challenge due to the absence of periodicity and the complex nature of medium-range structural motifs. In this work, we investigate amorphous…

Materials Science · Physics 2025-12-16 Kosuke Yamazaki , Takuma Shiga , Kumpei Shiraishi , Emi Minamitani

Most previous bounding-box-based segmentation methods assume the bounding box tightly covers the object of interest. However it is common that a rectangle input could be too large or too small. In this paper, we propose a novel segmentation…

Computer Vision and Pattern Recognition · Computer Science 2017-07-18 Ning Xu , Brian Price , Scott Cohen , Jimei Yang , Thomas Huang
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