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Graduate Seminar - 10/04, 12:00PM Duncan Hall 1064

Emily Hendryx

"Subset Selection via DEIM"

Originally developed as a means for model reduction in dynamical systems, the discrete empirical interpolation method (DEIM) can also be applied to large data sets for the purposes of subset selection. In this talk, I will focus on the role of DEIM in identifying representative beat morphologies in electrocardiogram data. In addition to presenting results demonstrating the effectiveness of DEIM in this context, I will also present a novel extension of DEIM that allows for the number of selected indices to exceed the rank of the data matrix, a feature not permitted in standard DEIM.

Department of Computational and Applied Mathematics
6100 Main MS-134   Houston, TX 77005   713.348.4805

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