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» A Convex Approach for Variational Super-Resolution
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CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 4 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ICCV
2009
IEEE
15 years 1 months ago
An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algori...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
SCALESPACE
2009
Springer
14 years 3 months ago
Computational Geometry-Based Scale-Space and Modal Image Decomposition
In this paper a framework for defining scale-spaces, based on the computational geometry concepts of α-shapes, is proposed. In this approach, objects (curves or surfaces) of incr...
Anatole Chessel, Bertrand Cinquin, Sabine Bardin, ...
ASPDAC
2005
ACM
140views Hardware» more  ASPDAC 2005»
14 years 2 months ago
A multi-level transmission line network approach for multi-giga hertz clock distribution
-In high performance systems, process variations and fluctuations of operating environments have significant impact on the clock skew. Recently, hybrid structures of H-tree and m...
Hongyu Chen, Chung-Kuan Cheng
ICCAD
1993
IEEE
101views Hardware» more  ICCAD 1993»
14 years 21 days ago
Convexity-based algorithms for design centering
A new technique for design centering, and for polytope approximation of the feasible region for a design are presented. In the rst phase, the feasible region is approximated by a ...
Sachin S. Sapatnekar, Pravin M. Vaidya, Steve M. K...