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ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
10 years 17 days ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
PR
1998
86views more  PR 1998»
10 years 2 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
IANDC
2007
117views more  IANDC 2007»
10 years 2 months ago
Computing the edit distance of a regular language
The edit distance (or Levenshtein distance) between two words is the smallest number of substitutions, insertions, and deletions of symbols that can be used to transform one of the...
Stavros Konstantinidis
ICCV
2007
IEEE
11 years 4 months ago
Localizing Unordered Panoramic Images Using the Levenshtein Distance
This paper proposes a feature-based method for recovering the relative positions of the viewpoints of a set of panoramic images for which no a priori order information is availabl...
Damien Michel, Antonis A. Argyros, Manolis I. A. L...
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