Wednesday, September 25, 2013 - 3:05pm - 3:55pm
Melba Crawford (Purdue University)
Interest in manifold learning for representing the topology of large, high dimensional nonlinear data sets in lower, but still meaningful dimensions for visualization and analysis has grown rapidly over the past decade, including analysis of hyperspectral remote sensing data.
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