Events Calendar

Ming Hsieh Department of Electrical Engineering Seminar

Restricted Isometry Property of Gaussian Random Projection for Low-Dimensional Subspaces

Professor Yuantao Gu
Tsinghua University
Beijing, China

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

More Information: Yuantao Gu Seminar.pdf

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Gloria Halfacre