BEGIN:VCALENDAR
METHOD:PUBLISH
PRODID:-//Apple Computer\, Inc//iCal 1.0//EN
X-WR-CALNAME;VALUE=TEXT:USC
VERSION:2.0
BEGIN:VEVENT
DESCRIPTION:Restricted Isometry Property of Gaussian Random Projection for Low-Dimensional Subspaces\n
\n
Professor Yuantao Gu\n
Tsinghua University\n
Beijing, China\n
\n
Abstract: Dimensionality reduction is in demand to reduce the complexity of solving large-scale problems with data lying in latent low-dimensional structures in machine learning and computer version. Motivated by such need, in this talk I will introduce the Restricted Isometry Property (RIP) of Gaussian random projections for low-dimensional subspaces in R^N, and prove that the projection Frobenius norm distance between any two subspaces spanned by the projected data in R^n for n
SEQUENCE:5
DTSTART:20180220T100000
LOCATION:EEB 248
DTSTAMP:20180220T100000
SUMMARY:Ming Hsieh Department of Electrical Engineering Seminar
UID:EC9439B1-FF65-11D6-9973-003065F99D04
DTEND:20180220T230000
END:VEVENT
END:VCALENDAR