With the increase in use of autonomous robotic systems for various tasks, including research projects, their ability to operate away from their ideal laboratory environment comes into question. Whilst long term autonomous ...

Abstract. Many application domains make use of specific data structures such as sequences and graphs to represent knowledge. These data structures are ill-fitted to the standard representations used in machine learning and ...

Combating the identity problem is crucial and urgent as false identity has become a common denominator of many serious crimes, including mafia trafficking and terrorism. Without correct identification, it is very difficult ...

There are many applications within the agricultural, food and medical sciences where it is required to detect targets that absorb X-rays in a similar way to the background material and these are therefore not easy to detect ...

Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most useful information. The benefits include improved data ...

The computational time complexity is an important topic in the theory of evolutionary algorithms (EAs). This paper reports some new results on the average time complexity of EAs. Based on drift analysis, some useful drift ...

This paper presents a novel study of the classification of large-scale Mars McMurdo panorama image. Three dimensionality reduction techniques, based on fuzzy-rough sets, information gain ranking, and principal component ...

The purpose of this article is to present a novel algorithm for the detection of masses in mammographic computer-aided diagnosis systems. Four key points provide the novelty of our approach: (1) the use of eigenanalysis ...

In this paper, we make a detailed study of two rigid-motion constraints. The importance of these two constraints is twofold: first, they reveal the inherent relationship between the three-dimensional-two-dimensional (3-D-2-D) ...

Inductive Logic Programming (ILP) systems constructmodels for data using domain-specific background information. When using these systems, it is typically assumed that sufficient human expertise is at hand to rule out ...