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CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
14 years 2 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
CVPR
2006
IEEE
14 years 9 months ago
The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
WSC
2008
13 years 10 months ago
Optimizing portfolio tail measures: Asymptotics and efficient simulation optimization
We consider a portfolio allocation problem where the objective function is a tail event such as probability of large portfolio losses. The dependence between assets is captured th...
Sandeep Juneja
ECCV
2010
Springer
13 years 10 months ago
Practical Methods For Convex Multi-View Reconstruction
Globally optimal formulations of geometric computer vision problems comprise an exciting topic in multiple view geometry. These approaches are unaffected by the quality of a provid...
HSNMC
2004
Springer
126views Multimedia» more  HSNMC 2004»
14 years 1 months ago
Hybrid Unicast and Multicast Flow Control: A Linear Optimization Approach
— In this paper, we present a solution to the general problem of flow control for both unicast and multicast IP networks. We formulate a convex optimization problem that can be ...
Homayoun Yousefi'zadeh, Fatemeh Fazel, Hamid Jafar...