when the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. in this paper, we propose a supervised feature extraction method based on discriminant analysis (da) which uses the first principal component (pc1) to weight the scatter matrices. the proposed method, called da-pc1, copes with the small sample size problem and has...

In this paper, we discuss the extension to the functional setting of the common principal component model that has been widely studied when dealing with multivariate observations. We provide estimators of the common eigenfunctions and study their asymptotic behavior.

herbal water is referred to the liquid obtained from the distillation of medicinal plants. different parts of plants, such as flowers, fruits, leaves, seeds and roots have long been used to produce herbal waters. herbal waters are used as dietary supplements and alternative medicine and are commonly used for flavoring in baking. previous studies focused on the non-volatile constituents of herbs...

Most current gene detection systems are Bio-informatics based methods. Despite the number of Bio-informatics based gene detection algorithms applied to CEGMA (Core Eukaryotic Genes Mapping Approach) dataset, none of them have introduced a pre-model to increase the accuracy and time reduction in the different CEGMA datasets. This method enables us to significantly reduce the time consumption for...