Research in Computational Topology
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Beschreibung
Based on the first Workshop for Women in Computational Topology that took place in 2016, this volume assembles new research and applications in computational topology. Featured articles range over the breadth of the discipline, including topics such as surface reconstruction, topological data analysis, persistent homology, algorithms, and surface-embedded graphs. Applications in graphics, medical imaging, and GIS are discussed throughout the book. Four of the papers in this volume are the product of working groups that were established and developed during the workshop. Additional papers were also solicited from the broader Women in Computational Topology network. The volume is accessible to a broad range of researchers, both within the field of computational topology and in related disciplines such as statistics, computational biology, and machine learning.
Based on the first Workshop for Women in Computational Topology that took place in 2016, this volume assembles new research and applications in computational topology. Featured articles range over the breadth of the discipline, including topics such as surface reconstruction, topological data analysis, persistent homology, algorithms, and surface-embedded graphs. Applications in graphics, medical imaging, and GIS are discussed throughout the book. Four of the papers in this volume are the product of working groups that were established and developed during the workshop. Additional papers were also solicited from the broader Women in Computational Topology network. The volume is accessible to a broad range of researchers, both within the field of computational topology and in related disciplines such as statistics, computational biology, and machine learning.
Presents research from the first Workshop for Women in Computational Topology Covers many applications in graphics, medical imaging, materials engineering, and GIS Accessible to researchers in computational topology, statistics, computational biology, and machine learning
Autor*in
Erin Wolf Chambers
Themen in »Research in Computational Topology«
Computational Topology Data Analysis Metric Graphs Network Analysis Persistence Profiles Workshop Rank invariant stability scaffoldings and spines planar domains Pseudo-multidimensional persistence persistent homology WinCompTop