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cs.CV2016★ 4 cited
Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies
Sofya Chepushtanova, Michael Kirby, Chris Peterson +1
The existence of characteristic structure, or shape, in complex data sets has been recognized as increasingly important for mathematical data analysis. This realization has motivat…
cs.CV2015
Classification of Hyperspectral Imagery on Embedded Grassmannians
Sofya Chepushtanova, Michael Kirby
We propose an approach for capturing the signal variability in hyperspectral imagery using the framework of the Grassmann manifold. Labeled points from each class are sampled and u…