Results 1 to 10 of about 760,180 (264)

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature aggregation and therefore is the key to extracting representative features.
Yuxin Chen   +5 more
semanticscholar   +1 more source

Acoustic non-Hermitian skin effect from twisted winding topology [PDF]

open access: yesNature Communications, 2021
The recently discovered non-Hermitian skin effect (NHSE) manifests the breakdown of current classification of topological phases in energy-nonconservative systems, and necessitates the introduction of non-Hermitian band topology.
Li Zhang   +13 more
semanticscholar   +1 more source

Algebraic topology

open access: yesGraduate Studies in Mathematics, 2020
This lecture covers several basic methods for standard tasks in data analysis and image processing. A non-exclusive and non-exhaustive list of meth-ods: histograms, dimension reduction, clustering, filters, frequency analysis, morphological methods ...
Claudia Scheimbauer
semanticscholar   +1 more source

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition [PDF]

open access: yesACM Multimedia, 2020
raph Convolutional Networks (GCNs) have attracted increasing interests for the task of skeleton-based action recognition. The key lies in the design of the graph structure, which encodes skeleton topology information.
Fanfan Ye   +5 more
semanticscholar   +1 more source

Topology optimization of multi-scale structures: a review

open access: yesStructural And Multidisciplinary Optimization, 2021
Multi-scale structures, as found in nature (e.g., bone and bamboo), hold the promise of achieving superior performance while being intrinsically lightweight, robust, and multi-functional.
Jun Wu, O. Sigmund, J. Groen
semanticscholar   +1 more source

Symmetry and Topology in Non-Hermitian Physics [PDF]

open access: yesPhysical Review X, 2018
We develop a complete theory of symmetry and topology in non-Hermitian physics. We demonstrate that non-Hermiticity ramifies the celebrated Altland-Zirnbauer symmetry classification for insulators and superconductors. In particular, charge conjugation is
K. Kawabata   +3 more
semanticscholar   +1 more source

Higher-order band topology [PDF]

open access: yesNature Reviews Physics, 2020
A conventional topological insulator (TI) has gapped bulk states but gapless edge states. The emergence of the gapless edge states is dictated by the bulk topological invariant of the insulator and the preservation of relevant symmetries.
Biye Xie   +6 more
semanticscholar   +1 more source

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

open access: yesGenome Biology, 2019
Single-cell RNA-seq quantifies biological heterogeneity across both discrete cell types and continuous cell transitions. Partition-based graph abstraction (PAGA) provides an interpretable graph-like map of the arising data manifold, based on estimating ...
F. A. Wolf   +8 more
semanticscholar   +1 more source

Exceptional topology of non-Hermitian systems [PDF]

open access: yesReviews of Modern Physics, 2019
The current understanding of the role of topology in non-Hermitian (NH) systems and its far-reaching physical consequences observable in a range of dissipative settings are reviewed.
E. Bergholtz   +2 more
semanticscholar   +1 more source

Higher-Order Topology in Bismuth [PDF]

open access: yesNature Physics, 2018
The mathematical field of topology has become a framework in which to describe the low-energy electronic structure of crystalline solids. Typical of a bulk insulating three-dimensional topological crystal are conducting two-dimensional surface states ...
F. Schindler   +14 more
semanticscholar   +1 more source

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