504 search results - page 35 / 101 » On similarity measures between intuitionistic fuzzy sets |
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
104
click to vote
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
JMLR
2006
14 years 9 months ago
2006
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
SEDE
2008
14 years 11 months ago
2008
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...