ReportTitle:Project Management: Introduction to Sparse Optimization
Reporter(Institution):Zhenghai Huang(Nanjing University)
Time:04:00.pm,27th Nov. 2015Location:B-201, Building of Economics & Management, JiulonghuCampus
Abstract:Recent years have seen an explosion of research activities in a fascinating area called compressive sensing, compressed sensing, or compressive sampling. The area of compressive sensing takes its name from the premise that data acquisition and compression can be performed simultaneously. It has various applications in many fields. The basic model of compressive sensing is to find the sparest solution to a system of linear equations. In this talk, we give a brief introduction to the essentials of compressive sensing and describe some motivations and applications. We also give a brief introduction to its extensions: low rank matrix recovery and low rank tensor recovery.
