In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Abstract. In the paper we present a method that allows an extraction of singleword terms for a specific domain. At the next stage these terms can be used as candidates for multi-wo...
Alexander F. Gelbukh, Grigori Sidorov, Eduardo Lav...
Human activity recognition is a challenging task, especially
when its background is unknown or changing,
and when scale or illumination differs in each video.
Approaches utilizi...
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...