For more information about this meeting, contact Stephanie Zerby, Mark Levi, Jinchao Xu.
|Title:||Fixed-Point Based Proximity Algorithms for Convex Optimization Problems in Signal and Image Processing|
|Seminar:||CCMA Luncheon Seminar|
|Speaker:||Yuesheng Xu, Syracuse University|
|We consider in this talk a class of convex optimization problems in the context of signal and image processing. The computational challenges of these
problems are the nonlinearity and non-differentiability of the object function. We characterize the solutions of these problems in terms of fixed-point
equations via the proximity operators of the functions that appear in the object function. Efficient algorithms are developed based on the characterization.
We introduce the notion of the weakly firmly non-expansive operators to analyze the convergence of the proposed algorithms. Many well-known algorithms
are re-interpreted as special cases of the proposed algorithms and new algorithms are shown numerically more efficient than the existing ones.|
Room Reservation Information
|Date:||02 / 01 / 2013|
|Time:||12:20pm - 01:30pm|