5 citations · 9 across the 7 of their papers we have counts for
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cs.LG2019
Rare geometries: revealing rare categories via dimension-driven statistics
Henry Kvinge, Elin Farnell, Jingya Li +1
In many situations, classes of data points of primary interest also happen to be those that are least numerous. A well-known example is detection of fraudulent transactions among t…
cs.LG2018
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets
Henry Kvinge, Elin Farnell, Michael Kirby +1
Dimensionality-reduction methods are a fundamental tool in the analysis of large data sets. These algorithms work on the assumption that the "intrinsic dimension" of the data is ge…