Results 31 to 40 of about 24,268,118 (293)
Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis
This paper proposes a view-invariant gait recognition framework that employs a unique view invariant model that profits from the dimensionality reduction provided by Direct Linear Discriminant Analysis (DLDA).
Jose Portillo-Portillo +7 more
doaj +1 more source
Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]
Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication.
Nema Dean +8 more
core +1 more source
QR-FOLDA: A Fast Orthogonal Linear Discriminant Analysis Based on QR Decomposition
Orthogonal Linear Discriminant Analysis (OLDA) has been widely studied for dimensionality reduction, as the orthogonality constraints on its projection matrix enable more effective elimination of redundant features compared to conventional Linear ...
Yuchuan Liu +5 more
doaj +1 more source
Initializing probabilistic linear discriminant analysis [PDF]
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Stylianos Moschoglou +3 more
openaire +4 more sources
Colorectal cancer is one of the most commonly diagnosed cancers in developed countries. Although the gold-standard diagnosis technique is the histological analysis of colon biopsies, it is important to investigate different diagnostic tools because the ...
Maria Lasalvia +2 more
doaj +1 more source
Sensible functional linear discriminant analysis [PDF]
The focus of this paper is to extend Fisher's linear discriminant analysis (LDA) to both densely re-corded functional data and sparsely observed longitudinal data for general $c$-category classification problems. We propose an efficient approach to identify the optimal LDA projections in addition to managing the noninvertibility issue of the covariance
Lu-Hung Chen, Ci-Ren Jiang
openaire +2 more sources
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
OFFLINE LINEAR DISCRIMINANT ANALYSIS CLASSFICATION OF TWO CLASS EEG SIGNALS
This paper investigates the use of LDA algorithm In the EEG classification. EEG feature extraction is Implemented to reduce the dimensionality of data. The Sliding Window Technique (SWT) is used to calculate the mean within each window samples.
Haider A. Abdulkareem +1 more
doaj +1 more source
A Doubly Regularized Linear Discriminant Analysis Classifier With Automatic Parameter Selection
Linear discriminant analysis (LDA) based classifiers tend to falter in many practical settings where the training data size is smaller than, or comparable to, the number of features.
Alam Zaib +3 more
doaj +1 more source
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source

