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» On the Subgroup Distance Problem
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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 5 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
122
Voted
CLASSIFICATION
2008
73views more  CLASSIFICATION 2008»
15 years 4 months ago
Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms
: In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the ama...
Alberto Fernández, Sergio Gómez
IJCV
2006
105views more  IJCV 2006»
15 years 4 months ago
A Metric Approach to Vector-Valued Image Segmentation
We address the issue of low-level segmentation of vector-valued images, focusing on the case of color natural images. The proposed approach relies on the formulation of the problem...
Pablo Andrés Arbeláez, Laurent D. Co...
TSMC
2008
93views more  TSMC 2008»
15 years 4 months ago
Selection of DNA Markers
Given a genome, i.e., a long string over a fixed finite alphabet, the problem is to find short (dis)similar substrings. This computationally intensive task has many biological appl...
Hendrik Jan Hoogeboom, Walter A. Kosters, Jeroen F...
PR
1998
86views more  PR 1998»
15 years 4 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...