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SODA
2003
ACM
143views Algorithms» more  SODA 2003»
15 years 8 months ago
Matching planar maps
The subject of this paper are algorithms for measuring the similarity of patterns of line segments in the plane, a standard problem in, e.g., computer vision, geographic informati...
Helmut Alt, Alon Efrat, Günter Rote, Carola W...
DARE
2000
108views more  DARE 2000»
15 years 8 months ago
Evaluating navigation methods for an AR system
BUILD-IT is a planning tool based on computer vision technology, supporting complex planning and composition tasks. A group of people, seated around a table, interact with objects...
Morten Fjeld
ICGA
1997
133views Optimization» more  ICGA 1997»
15 years 8 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
NIPS
1997
15 years 8 months ago
Active Data Clustering
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Thomas Hofmann, Joachim M. Buhmann
NIPS
1997
15 years 8 months ago
Graph Matching with Hierarchical Discrete Relaxation
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
Richard C. Wilson, Edwin R. Hancock
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