- Series
- Applied and Computational Mathematics Seminar
- Time
- Monday, January 30, 2012 - 2:00pm for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- David Mao – Institute for Mathematics and Its Applications (IMA) at University of Minnesota – http://davidmao.net/
- Organizer
- Sung Ha Kang
Binary function is a class of important function that appears in many applications e.g. image segmentation, bar code recognition, shape detection and so on. Most studies on reconstruction of binary function are based on the nonconvex double-well potential or total variation. In this research we proved that under certain conditions the binary function can be reconstructed from incomplete frequency information by using only simple linear programming, which is far more efficient.