This review focuses on covert attention and how it alters early vision. I explain why attention is considered a selective process, the constructs of covert attention, spatial endogenous and exogenous attention, and feature-based attention. I explain how in the last 25 years research on attention has characterized the effects of covert attention on spatial filters and how attention influences th...

Feature-specific enhancement refers to the process by which selectively attending to a particular stimulus feature specifically increases the response in the same region of the brain that codes that stimulus property. Whereas there are many demonstrations of this mechanism in the visual system, the evidence is less clear in the auditory system. The present functional magnetic resonance imaging ...

In this paper, Landscape Allocation using Genetic Algorithm (LAGA), a spatial multi-objective land use optimization software is introduced. The software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. LAGA is a flexible and easy to use genetic algorithm-based software for optimizing the sp...

In feature-oriented software development, features distinguish different applications and a feature model abstractly represents the set of all possible applications for a given domain. Selecting a set of features that obey the feature model is the first step toward the synthesis of an application. In this paper, we present SMARTFORM, a web-based feature configuration tool that facilitates the p...

The aim of this chapter is to provide a comprehensive description of the notion of variability modeling in the context of software product line engineering and to give an overview of the techniques proposed for variability modeling. Since its first introduction in 1990, feature modeling [1] has been the most popular technique to model commonality and variability (C&V) of products of a product l...

Adolescent Idiopathic Scoliosis (AIS) exhibits as an abnormal curvature of the spine in teens. Conventional radiographic assessment of scoliosis is unreliable due to the need for manual intervention from clinicians as well as high variability in images. Current methods for automatic scoliosis assessment are not robust due to reliance on segmentation or feature engineering. We propose a novel fr...

In this paper, a novel approach for 2D face recognition is proposed, based on local feature extraction through a multi-resolution multi-orientation linear method: Steerable Pyramid (SP) and on a feature selection and classification by means of a non-linear method: Adaboost. Many strategies have been elaborated and tested on IV2 database including challenging variability such as pose, expression...

 Software product line engineering is a paradigm that advocates the reusability of software engineering assets and the rapid development of new applications for a target domain. These objectives are achieved by capturing the commonalities and variabilities between the applications of a target domain and through the development of comprehensive and variability-covering domain models. The domain...

The detection of facial features is a necessary step for a wide range of applications e.g. person veriication, lipreading and model-based face coding. Due to changes in illumination, visual angle and facial expressions , the variability of facial features in their appearance is high. A robust approach to facial feature detection has to handle these variations. In this framework, we present an a...