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DAGM
2010
Springer
15 years 2 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
ISICA
2007
Springer
15 years 7 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
AAAI
2010
15 years 3 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
ICC
2007
IEEE
15 years 8 months ago
Energy and Utility Optimization in Wireless Networks with Random Access
— Energy consumption is a main issue of concern in wireless networks. Energy minimization increases the time that networks’ nodes work properly without recharging or substituti...
Amir Mahdi Khodaian, Babak Hossein Khalaj
INFOCOM
2003
IEEE
15 years 7 months ago
Optimal Partition of QoS Requirements for Many-to-Many Connections
— We study problems related to supporting multicast connections with Quality of Service (QoS) requirements. We investigate the problem of optimal resource allocation in the conte...
Dean H. Lorenz, Ariel Orda, Danny Raz