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127
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CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 3 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein
137
Voted
CVPR
2011
IEEE
14 years 7 months ago
A Global Optimization Approach to Robust Multi-Model Fitting
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
Jin Yu, Tat-Jun Chin, David Suter
VLDB
1997
ACM
134views Database» more  VLDB 1997»
15 years 8 months ago
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Yun-Wu Huang, Ning Jing, Elke A. Rundensteiner
161
Voted
ASPLOS
2008
ACM
15 years 5 months ago
Communication optimizations for global multi-threaded instruction scheduling
The recent shift in the industry towards chip multiprocessor (CMP) designs has brought the need for multi-threaded applications to mainstream computing. As observed in several lim...
Guilherme Ottoni, David I. August
144
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CPHYSICS
2006
204views more  CPHYSICS 2006»
15 years 3 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris