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CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
15 years 8 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
16 years 3 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
15 years 3 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
15 years 4 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»
15 years 6 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...