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» Optimizing for parallelism and data locality
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91
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IDA
2003
Springer
15 years 5 months ago
An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering
Abstract. Since minimum sum-of-squares clustering (MSSC) is an NPhard combinatorial optimization problem, applying techniques from global optimization appears to be promising for r...
Peter Merz
107
Voted
MICCAI
2004
Springer
16 years 1 months ago
Parallel Optimization Approaches for Medical Image Registration
Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. The increasing availability of parallel comp...
Mark P. Wachowiak, Terry M. Peters
HPCS
2005
IEEE
15 years 6 months ago
High Performance Derivative-Free Optimization Applied to Biomedical Image Registration
Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...
Mark P. Wachowiak, Terry M. Peters
140
Voted
CVPR
2012
IEEE
13 years 2 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...
75
Voted
EUROPAR
2008
Springer
15 years 2 months ago
Deque-Free Work-Optimal Parallel STL Algorithms
This paper presents provable work-optimal parallelizations of STL (Standard Template Library) algorithms based on the workstealing technique. Unlike previous approaches where a deq...
Daouda Traoré, Jean-Louis Roch, Nicolas Mai...