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We propose a new embedding method which is particularly well-suited for settings where the sample size greatly exceeds the ambient dimension. Our technique consists of partitioning the space into simplices and then embedding the data points…

Machine Learning · Computer Science 2020-02-07 Lee-Ad Gottlieb , Eran Kaufman , Aryeh Kontorovich , Gabriel Nivasch , Ofir Pele

We discuss the deformation theory of special Lagrangian (SL) conifolds in complex space C^m. Conifolds are a key ingredient in the compactification problem for moduli spaces of compact SLs in Calabi-Yau manifolds. This category allows for…

Differential Geometry · Mathematics 2014-02-26 Tommaso Pacini

This is the first in a series of papers devoted to the theory of decomposition spaces, a general framework for incidence algebras and M\"obius inversion, where algebraic identities are realised by taking homotopy cardinality of equivalences…

Category Theory · Mathematics 2019-07-05 Imma Gálvez-Carrillo , Joachim Kock , Andrew Tonks

In recent years it has been noted that a number of combinatorial structures such as real and complex hyperplane arrangements, interval greedoids, matroids and oriented matroids have the structure of a finite monoid called a left regular…

Combinatorics · Mathematics 2018-10-01 Stuart Margolis , Franco Saliola , Benjamin Steinberg

Subspace clustering assumes that the data is sepa-rable into separate subspaces. Such a simple as-sumption, does not always hold. We assume that, even if the raw data is not separable into subspac-es, one can learn a representation…

Machine Learning · Computer Science 2019-12-11 Jyoti Maggu , Angshul Majumdar , Emilie Chouzenoux

We define novel fully combinatorial models of higher categories. Our definitions are based on a connection of higher categories to "directed spaces". Directed spaces are locally modelled on manifold diagrams, which are stratifications of…

Category Theory · Mathematics 2023-03-21 Christoph Dorn

In the first work of this series [physics/0204035] it was shown that the conformational space of a molecule could be described to a fair degree of accuracy by means of a central hyperplane arrangement. The hyperplanes divide the espace into…

Computational Physics · Physics 2008-12-13 Jacques Gabarro-Arpa

We give the description of discretized moduli spaces (d.m.s.) $\Mcdisc$ introduced in \cite{Ch1} in terms of a discrete de Rham cohomologies for each moduli space $\Mgn$ of a genus $g$, $n$ being the number of punctures. We demonstrate that…

High Energy Physics - Theory · Physics 2007-05-23 L. Chekhov

In this paper, a generalized cusp is a properly convex manifold with strictly convex boundary that is diffeomorphic to $M \times [0, \infty)$ where $M$ is a closed Euclidean manifold. These are classified in [2]. The marked moduli space is…

Geometric Topology · Mathematics 2020-08-24 Samuel A. Ballas , Daryl Cooper , Arielle Leitner

Classes of branched surfaces extend the classes of surfaces or 2-dimensional manifolds satisfying suitable properties and defined in various manners. Reeb spaces of smooth maps of suitable classes into surfaces whose codimensions are…

General Topology · Mathematics 2022-08-16 Naoki Kitazawa

Intra-class variations, distribution shifts among source and target domains are the major challenges of category-level tasks. In this study, we address category-level full 6D object pose estimation in the context of depth modality,…

Computer Vision and Pattern Recognition · Computer Science 2018-08-02 Caner Sahin , Tae-Kyun Kim

A classification of 2-dimensional surfaces imbedded in spacetime is presented, according to the algebraic properties of their shape tensor. The classification has five levels, and provides among other things a refinement of the concepts of…

General Relativity and Quantum Cosmology · Physics 2008-11-26 José M M Senovilla

Face segmentation is the task of densely labeling pixels on the face according to their semantics. While current methods place an emphasis on developing sophisticated architectures, use conditional random fields for smoothness, or rather…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Iacopo Masi , Joe Mathai , Wael AbdAlmageed

The main goal of this paper is to generalize Serre-Tate theory of "ordinary" local moduli to Shimura varieties of PEL type. To this end we develop a generalized notion of ordinariness, we prove a number of basic results about this, and we…

Algebraic Geometry · Mathematics 2007-05-23 Ben Moonen

We define the notion of complex stratification by quasifolds and show that such spaces occur as complex quotients by certain nonclosed subgroups of tori associated to convex polytopes. The spaces thus obtained provide a natural…

Algebraic Geometry · Mathematics 2008-03-02 Fiammetta Battaglia

In the study of 2d (the space dimension) topological orders, it is well-known that bulk excitations are classified by unitary modular tensor categories. But these categories only describe the local observables on an open 2-disk in the long…

Quantum Algebra · Mathematics 2018-06-18 Yinghua Ai , Liang Kong , Hao Zheng

A function from configuration space to moduli space of surface may induce a homomorphism between their fundamental groups which are braid groups and mapping class groups of surface, respectively. This map $\phi: B_k \rightarrow…

Algebraic Topology · Mathematics 2018-02-05 Byung Chun Kim , Yongjin Song

We extend the classical notion of standardly stratified $k$-algebra (stated for finite dimensional $k$-algebras) to the more general class of rings, possibly without $1,$ with enough idempotents. We show that many of the fundamental…

Rings and Algebras · Mathematics 2020-09-03 O. Mendoza , M. Ortíz , C. Sáenz , V. Santiago

A stratified bundle is a fibered space in which strata are classical bundles and in which attachment of strata is controlled by a structure category of fibers. Well known results on fibre bundles are shown to be true for stratified bundles;…

Geometric Topology · Mathematics 2007-05-23 Hans-Joachim Baues , Davide L. Ferrario

Increasing data set sizes of 3D microscopy imaging experiments demand for an automation of segmentation processes to be able to extract meaningful biomedical information. Due to the shortage of annotated 3D image data that can be used for…

Image and Video Processing · Electrical Eng. & Systems 2022-02-02 Dennis Eschweiler , Richard S. Smith , Johannes Stegmaier
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