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» Minimization of an M-convex Function
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ICCV
2009
IEEE
13 years 3 months ago
An algorithm for minimizing the 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 algorith...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
SIAMMAX
2010
105views more  SIAMMAX 2010»
13 years 15 days ago
Construction of Covariance Matrices with a Specified Discrepancy Function Minimizer, with Application to Factor Analysis
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given covariance structural model and a discrepancy function...
So Yeon Chun, A. Shapiro
ECCV
2000
Springer
14 years 7 months ago
Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
Alain Trouvé, Laurent Younes
JCT
2000
103views more  JCT 2000»
13 years 5 months ago
A Combinatorial Algorithm Minimizing Submodular Functions in Strongly Polynomial Time
We give a strongly polynomial-time algorithm minimizing a submodular function f given by a value-giving oracle. The algorithm does not use the ellipsoid method or any other linear ...
Alexander Schrijver
GLOBECOM
2008
IEEE
14 years 6 days ago
Failure Rate Minimization with Multiple Function Unit Scheduling for Heterogeneous WSNs
— Failure-Rate Minimization is becoming one of the major design issues in wireless sensor network (WSN) architecture due to multiple available Functional-units (FUs). There is a ...
Meikang Qiu, Jing Deng, Edwin Hsing-Mean Sha