Fueled by our increasingly information-based and data-driven society, there is a growing need for computational methods capable of "making sense" of volumes of data that may be very high-dimensional, corrupted, or even largely incomplete. A unifying theme in many modern investigations into problems of this form is to exploit intrinsic low-dimens...
Creator:
Haupt, Jarvis (University of Minnesota, Twin Cities)
Created:
2015-12-08
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.