Abstract In natural images, the distance measure between two images taken at different locations rises smoothly with increasing distance between the locations. This fact can be exp...
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Abstract. This contribution studies speciation from the standpoint of evolutionary robotics (ER). A common approach to ER is to design a robot’s control system using neuro-evolut...
The subject of this paper are algorithms for measuring the similarity of patterns of line segments in the plane, a standard problem in, e.g., computer vision, geographic informati...
Comparative analysis of metabolic pathways in different genomes can give insights into the understanding of evolutionary and organizational relationships among species. This type ...
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture ...
Most methods for document image retrieval rely solely on text information to find similar documents. This paper describes a way to use layout information for document image retrie...
Joost van Beusekom, Daniel Keysers, Faisal Shafait...
Abstract. To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance me...
Leonardo Vanneschi, Steven Gustafson, Giancarlo Ma...
This paper deals with a new distance measure for genes using their microarray expressions. The distance measure is called, "Maxrange distance", where an experiment speci...