Topological Persistence and Simplification

We formalize a notion of topological simplification within the framework of a filtration, which is the history of a growing complex. We classify a topological change that happens during growth as either a feature or noise, depending on its life-time or persistence within the filtration. We give fast algorithms for completing persistence and experimental evidence for their speed and utility.

ELEMENTS OF ALGEBRAICTOPOLOGYELEMENTS OF ALGEBRAIC TOPOLOGYElements of algebraictopologyElements of algebraic topologySimulation ofSimplicity: A Technique…Simulation of Simplicity: A Technique to Cope with Degenerate Cases in Geometric AlgorithmsIntroduction toAlgorithmsIntroduction to AlgorithmsIntroduction toAlgorithmsIntroduction to AlgorithmsAn incremental algorithmfor Betti numbers of…An incremental algorithm for Betti numbers of simplicial complexes on the 3-sphereIntroduction toAlgorithmsIntroduction to AlgorithmsTopology Simplificationfor Polygonal Virtual…Topology Simplification for Polygonal Virtual EnvironmentsA User's Guide toSpectral SequencesA User's Guide to Spectral SequencesComputational topologyat multiple resolutions…Computational topology at multiple resolutions: foundations and applications to fractals and dynamicsLevel Set Methods: AnOverview and Some Recen…Level Set Methods: An Overview and Some Recent ResultsHierarchical morsecomplexes for piecewise…Hierarchical morse complexes for piecewise linear 2-manifoldsComputing andcomprehending topology…Computing and comprehending topology: persistence and hierarchical morse complexesComputational Topologyfor Point Data: Betti…Computational Topology for Point Data: Betti Numbers of α-ShapesOptimal discrete Morsefunctions for…Optimal discrete Morse functions for 2-manifoldsStability of PersistenceDiagramsStability of Persistence DiagramsCritical sets indiscrete Morse theories…Critical sets in discrete Morse theories: Relating Forman and piecewise-linear approachesClique topology revealsintrinsic geometric…Clique topology reveals intrinsic geometric structure in neural correlationsRandomly Weightedd-Complexes: Minimal…Randomly Weighted d-Complexes: Minimal Spanning Acycles and Persistence DiagramsPersistent spectralgraphPersistent spectral graphA Topological LossFunction for…A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent HomologyWasserstein Stabilityfor Persistence DiagramsWasserstein Stability for Persistence DiagramsEvolutionary deRham-Hodge methodEvolutionary de Rham-Hodge methodTopological Persistenceand SimplificationTopological Persistence and SimplificationEarlier referencesFocus paperCiting papersOlderNewer

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