Learn More
BACKGROUND It is widely agreed that species are fundamental units of biology, but there is little agreement on a definition of species or on an operational criterion for delimiting species that is applicable to all organisms. METHODOLOGY/PRINCIPAL FINDINGS We focus on asexual eukaryotes as the simplest case for investigating species and speciation. We(More)
It is valuable to identify and catalog design patterns for reconfigurable computing. These design patterns are canonical solutions to common and recurring design challenges which arise in reconfigurable systems and applications. The catalog can form the basis for creating designs, for educating new designers, for understanding the needs of tools and(More)
In this paper, we have performed an evaluation of genetic-based feature selection and weighting on the PCA-based face recognition. This work highlights the first attempt of applying Genetic Algorithm (GA) based feature selection on the Eigenface method. The results show that genetic-based feature selection reduces the number of features needed by(More)
In this paper, we investigate the use of a hybrid genetic feature weighting and selection (GEFeWS) algorithm for multi-biometric recognition. Our results show that GEFeWS is able to achieve higher recognition accuracies than using genetic-based feature selection (GEFeS) alone, while using significantly fewer features to achieve approximately the same(More)
Personal identification using an individual's periocular skin texture (e.g. the texture of the skin around the eye) is a promising and exciting new biometric modality [11]. For the application presented in this paper, local binary patterns (LBPs) are used to extract 1416 features from the periocular regions of images within the Face Recognition Grand(More)
This paper presents a novel approach to LBP feature extraction. Unlike other LBP feature extraction methods, we evolve the number, position, and the size of the areas of feature extraction. The approach described in this paper also attempts to minimize the number of areas as well as the size in an effort to reduce the total number of features needed for(More)
 In previous research, Shelton et al. presented a genetic-based method for evolving feature extractors for facial recognition. The technique presented evolved feature extractors that consisted of non-uniform, overlapping patches and did not cover the entire image. In this paper, we compare the use of non-uniform, overlapping patches with uniform,(More)