In medical literature, the detecting of post-operative patient status is very important topic. In this paper, An Automatic System based Linear Discriminant Analysis (LDA) and Artificial Neural Network (ANN) for Detecting of Postoperative Patient Status (A_LDA_ANN_DPPS) is introduced. This automatic system consists of three stages, which are feature extraction and feature reduction stage, classi...

A method that can detect colorant type in food is requisite against illegal practices used non-food-grade colorants food. In this study types of yellow tofu were identified using visible near-infrared (Vis-NIR) and shortwave spectra (SW-NIR) spectroscopy. Chemometrics analysis partial least square-discriminant (PLS-DA) principal component analysis-linear discriminant (PCA-LDA) to classify natur...

introduction: in most bci articles which aim to separate movement imaginations, µ and β frequency bands have been used. in this paper, the effect of presence and absence of γ band on performance improvement is discussed since movement imaginations affect γ frequency band as well. methods: in this study we used data set 2a from bci competition iv. in this data set, 9 healthy subjects have perfor...

For linear discriminant analysis (LDA), the ratio trace and trace ratio are two basic criteria generalized from the classical Fisher criterion function, while the orthogonal and uncorrelated constraints are two common conditions imposed on the optimal linear transformation. The ratio trace criterion with both the orthogonal and uncorrelated constraints have been extensively studied in the liter...

An iris recognition algorithm is implemented using morphological image processing, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The suggested occlusion removal technique is implemented using erosion and dilation operators, and compared against a training set without occlusion removal and one that only keeps one half of the iris. The resulting comparison shows that ...

Staphylococcus aureus is one of the leading causes of bacteremia, with high levels of accompanying morbidity and mortality. Current gold standard for the detection of S. aureus is very time-consuming, typically taking 24h or longer. We set out to determine whether Fourier-transform infrared spectroscopy (FT-IR) combined with variable selection techniques, such as, genetic algorithm-linear discr...

Due to the COVID-19 pandemic, necessity for a contactless biometric system able recognize masked faces drew attention periocular region as valuable trait. However, recognition remains challenging deployments in wild or unconstrained environments where images are captured under non-ideal conditions with large variations illumination, occlusion, pose, and resolution. These increase within-class v...

Error estimation is a problem of high current interest in many areas of application. This paper concerns the classical problem of determining the performance of error estimators in small-sample settings under a Gaussianity parametric assumption. We provide here for the first time the exact sampling distribution of the resubstitution and leave-one-out error estimators for linear discriminant ana...

discriminant analysis methods Lishan Qiao, Limei Zhang, Songcan Chen 1 Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, Nanjing, P.R. China 2 Department of Mathematics Science, Liaocheng University, 252000, Liaocheng, P.R. China Abstract: Laplacian Linear Discriminant Analysis (LapLDA) and Semi-supervised Discriminant Analysis (SDA) are t...

Fisher criterion has achieved great success in dimensionality reduction. Two representative methods based on Fisher criterion are Fisher Score and Linear Discriminant Analysis (LDA). The former is developed for feature selection while the latter is designed for subspace learning. In the past decade, these two approaches are often studied independently. In this paper, based on the observation th...