A unified, coherent treatment of current classifier ensemble methods, from fundamentals of
pattern recognition to ensemble feature selection, now in its second edition The art and …

This paper examines the problem of distributed intrusion detection in Mobile Ad-Hoc
Networks (MANETs), utilizing ensemble methods. A three-level hierarchical system for data …

We discuss approaches to incrementally construct an ensemble. The first constructs an
ensemble of classifiers choosing a subset from a larger set, and the second constructs an …

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

Due to the wide variety of fusion techniques available for combining multiple classifiers into
a more accurate classifier, a number of good studies have been devoted to determining in …

Computer vision is an emerging area which is demanding solutions for solving different
problems. The data to be processed are bi-dimensional (2D) images captured from the tri …

A new automatic hybrid classifier for natural images by combining two base classifiers
through the fuzzy cognitive maps (FCMs) approach is presented in this study. The base …

This paper presents a comparative analysis of novel supervised fuzzy adaptive resonance
theory (SF-ART), multilayer perceptron (MLP) and competitive neural trees (CNeT) Networks …

The increasing technology of high-resolution image airborne sensors, including those on
board Unmanned Aerial Vehicles, demands automatic solutions for processing, either on …

An image fusion method based on region segmentation and wavelet transform for multi-
scale remote sensing image fusion is proposed. Firstly, the multiscale decomposition of …