37 citations · 108 across the 15 of their papers we have counts for
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cs.LG2019
Spatially regularized active diffusion learning for high-dimensional images
James M. Murphy
An active learning algorithm for the classification of high-dimensional images is proposed in which spatially-regularized nonlinear diffusion geometry is used to characterize clust…
cs.LG2019
Learning by Active Nonlinear Diffusion
Mauro Maggioni, James M. Murphy
This article proposes an active learning method for high dimensional data, based on intrinsic data geometries learned through diffusion processes on graphs. Diffusion distances are…
cs.CV2019★ 29 cited
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering
James M. Murphy, Mauro Maggioni
An unsupervised learning algorithm to cluster hyperspectral image (HSI) data is proposed that exploits spatially-regularized random walks. Markov diffusions are defined on the spac…