Persistent homology on spatio-temporal cubical complexes from address records quantifies urban population displacement and identifies affected neighborhoods and years in a Madrid case study.
Topology and data.Bulletin of the American Mathematical Society, 46(2):255–308
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Hybrid models that add persistent-homology features from fixation time series to traditional statistical features outperform purely statistical baselines for dyslexia detection on the Copenhagen Corpus.
Support-weighted partial recentering of maxmin seeds using halfspace depth yields consistent geometric improvement over standard maxmin in planar benchmarks while preserving thresholded H1 summaries.
citing papers explorer
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Quantifying displacement: an urban expansion consequence via persistent homology
Persistent homology on spatio-temporal cubical complexes from address records quantifies urban population displacement and identifies affected neighborhoods and years in a Madrid case study.
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Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection
Hybrid models that add persistent-homology features from fixation time series to traditional statistical features outperform purely statistical baselines for dyslexia detection on the Copenhagen Corpus.
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Local Depth-Based Corrections to Maxmin Landmark Selection for Lazy Witness Persistence
Support-weighted partial recentering of maxmin seeds using halfspace depth yields consistent geometric improvement over standard maxmin in planar benchmarks while preserving thresholded H1 summaries.