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» Iterative Methods in Combinatorial Optimization
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RAS
2002
129views more  RAS 2002»
15 years 2 months ago
Finding and optimizing solvable priority schemes for decoupled path planning techniques for teams of mobile robots
Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics. The predominant algorithms for coordinating teams of robots are decoupled and pri...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
141
Voted
ICCV
2011
IEEE
14 years 2 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
129
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
123
Voted
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 8 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
116
Voted
NIPS
2008
15 years 4 months ago
An Extended Level Method for Efficient Multiple Kernel Learning
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu