University of Cambridge > Talks.cam > Microsoft Research Machine Learning and Perception Seminars > On a first-order primal-dual algorithm with applications to convex problems in computer vision

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

On a first-order primal-dual algorithm with applications to convex problems in computer vision

Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins .

In the first part of the talk I give new results for a first-order primal-dual algorithm to solve non-smooth convex optimization problems with known saddle-point structure. I show that the algorithm converges to a saddle-point with rate O(1/N) for the complete class of problems. Furthermore, I show that we can get better convergence rates on problems with more regularity.

In the second part of the talk, I discuss new preconditioning techniques for the algorithm. In particular, I propose a family of simple and easy to compute diagonal preconditioners for which convergence of the algorithm is guaranteed without the need to compute any step size parameters.

In the third part of the talk I demonstrate the improved performance of the algorithm by applying it to standard linear programming test problems and a few standard computer vision problems such as image restoration, graph cuts, multi-label image segmentation and optical flow.

(Joint work with Antonin Chambolle, CMAP , Ecole Polytechnique)

This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Heart and Lung Research Institute (0.R089) Webinar & FW11, Computer Laboratory, William Gates Building. Seminar room, Sociology Department, Free School Lane http://map.cam.ac.uk/#/annotate/adapters/v4.json?mp=nmus;xx=84;yy=195;mt=c;tl=Department%20of%20Sociology

Other talks

Filial Lines: Art Spiegelman, Alison Bechdel, and Comics Form TBC Together Now: Cooperation and Collaboration in Social Art Practice Differences between Robin and Neumann eigenvalues Harnessing Radical Reactivity for Molecular Innovation Online Causal Inference Seminar
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity