In this paper, we proposed a novel spam detection method that focused on reducing the
false positive error of mislabeling nonspam as spam. First, we used the wrapper-based …

For any pattern classification task, an increase in data size, number of classes, dimension of
the feature space, and interclass separability affect the performance of any classifier. A …

Computer Vision based autonomous robot navigation has caught the attention of many
researchers because of its huge potential in various industrial and social applications. This …

Abstract one of the most important tasks of Mars rover, a robot which explores the Mars
surface, is the process of automatic segmentation of images taken by front-line Panoramic …

This paper presents a novel application of advanced machine learning techniques for Mars
terrain image classification. Fuzzy-rough feature selection (FRFS) is adapted and then …

In this paper we propose a new method for combining simple classifiers through the
analogue Hopfield Neural Network (HNN) optimization paradigm for classifying natural …

In recent years, due to increasing necessity and the rise in agricultural production
worldwide, an efficient, uncomplicated and precise classification mechanism of agricultural …

The concept of an algorithm developed for the segmentation of a road border from the
content of an image produced by a forward looking TV camera mounted on a moving vehicle …

Corporate bankruptcy is a hot topic in economical research. Traditional methods cannot
reach satisfying classification accuracy due to the high dimensional features. In this study …

An intelligent machine vision system is investigated and used for pattern recognition and
classification of seven different types of cork tiles. The system includes image acquisition …