This paper presents a novel surveillance system aimed at the detection and classification of
threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive …

We present a computational model and a system for the automated recognition of emotions
starting from full-body movement. Three-dimensional motion data of full-body movements …

Although psychological research indicates that bodily expressions convey important
affective information, to date research in emotion recognition focused mainly on facial …

The paper shows the possibilities of generalizing the two-class classification into multi-class
classification by means of a fuzzy inference system. Fuzzy combiner harnesses the support …

A common way of constructing a multiclass classifier is by combining the outputs of several
binary ones, according to an error-correcting output code (ECOC) scheme. The combination …

In this work we consider the problem of modeling and recognizing collective activities
performed by groups of people sharing a common purpose. For this aim we take into …

There is a general class of methods of detecting anomalies in a computer system which are
based on heuristics or artificial intelligence techniques. These methods are to distinguish …

A decomposition approach to multiclass classification problems consists in decomposing a
multiclass problem into a set of binary ones. Decomposition splits the complete multiclass …

The network intrusion detection domain has seen increased research that exploit data
mining and machine learning techniques and principles. Typically, multi-category …

For a complex multiclass problem, it is common to construct the multiclass classifier by
combining the outputs of several binary ones. The two basic methods for this purpose are …