Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
— This paper addresses the problem of exploring an unknown environment with a team of mobile robots. The key issue in coordinated multi-robot exploration is how to assign target ...
Abstract: Fabrication process improvements and technology scaling results in modifications in the characteristics and in the behavior of manufactured memory chips, which also modi...
A new pattern filtering technique is developed to analyze the genomic sequence in this research based on gap sequences, in which the distance of the same symbol is recorded consec...