This paper presents a review of some of the most recent evolutionary algorithms used for
solving feature selection based upon previously published research on feature selection. In …

Many optimization problems involve selecting the best subset of solution components.
Besides, many other optimization problems can be modelled as a subset problem. This …

Interactive multimedia services, which integrate and unify techniques from a variety of
disciplines, have been an active research topic for many years. However, two major …

Image data has become one of the most popular data type distributed in many multimedia
applications. The effectiveness of image deployment is greatly dependent on the ability to …

Abstract Electroencephalogram (EEG) based Brain Computer Interface (BCI) is a system that
uses human brainwaves recorded from the scalp as a means for providing a new …

Automatic image categorization and description are key components for many applications,
ie, multimedia database management, web content analysis, human–computer interactions …

In machine learning, Feature Selection is a pre-processing technique performed to increase
the classification performance by reducing the dimensionality of the data. More number of …

The simultaneous measurement of EOG and fMRI has been done in the present study in
order to investigate the influence of eye movement (blinking mechanism) on the functional …

In this chapter, the use of stochastic and evolutionary optimization techniques for image
retrieval is addressed. We provide background and motivations of such approaches, as well …

The widespread use of digital cameras, as well as the increasing popularity of online photo
sharing has led to the proliferation of networked photo collections. Handling such a huge …