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ECCV
2000
Springer
15 years 24 days 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
AUTOMATICA
2002
53views more  AUTOMATICA 2002»
13 years 10 months ago
Minimal partial realization from generalized orthonormal basis function expansions
A solution is presented for the problem of realizing a discrete-time LTI state-space model of minimal McMillan degree such that its
Thomas J. de Hoog, Zoltán Szabó, Pet...
SIAMJO
2008
212views more  SIAMJO 2008»
13 years 11 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
GLOBECOM
2008
IEEE
14 years 5 months 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
CISS
2010
IEEE
13 years 2 months ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda