Results 71 to 80 of about 111,184 (298)
Robust and Efficient Linear Discriminant Analysis With
Feature selection and feature transformation are the two main approaches to reduce dimensionality, and they are often presented separately. In this study, a novel robust and efficient feature selection method, called FS-VLDA-L2,1 (feature selection based
Libo Yang +3 more
doaj +1 more source
Distance metric learning with penalized linear discriminant analysis [PDF]
Linear discriminant analysis has gained extensive applications in supervised classification and dimension reduction. In LDA formulation, original patterns with high dimension can be projected to lower dimension through a transfer matrix which is ...
Zhao XG(赵新刚) +2 more
core
On the application of the probabilistic linear discriminant analysis to face recognition across expression [PDF]
Facial expression is one of the main issues of face recognition in uncontrolled environments. In this paper, we apply the probabilistic linear discriminant analysis (PLDA) method to recognize faces across expressions.
Ligang Zhang +6 more
core +1 more source
This study constructed the first spatiotemporal multi‐omics map of peach fruit and discovered a key candidate gene that synergistically regulates trichome development and drought tolerance through the jasmonic acid signaling pathway, providing insights into the coupling mechanism between development and stress resistance.
Zhixin Liu +9 more
wiley +1 more source
Orthogonal sparse linear discriminant analysis [PDF]
© 2018 Informa UK Limited, trading as Taylor & Francis Group. Linear discriminant analysis (LDA) is a linear feature extraction approach, and it has received much attention.
Wang, X +9 more
core +1 more source
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen +19 more
wiley +1 more source
Candida auris and Candida haemulonii are two emerging opportunistic pathogens that have caused an increase in clinical cases in the recent years worldwide.
Ayrton L. F. Nascimento +10 more
doaj +1 more source
Linear discriminant analysis of spatial Gaussian data with estimated anisotropy ratio
The paper deals with a problem of classification of Gaussian spatial data into one of two populations specified by different parametric mean models and common geometric anisotropic covariance function.
Lina Dreižienė
doaj +1 more source
Emotion recognition using facial expression and electroencephalography features with support vector machine classifier [PDF]
University of Technology Sydney. Faculty of Engineering and Information Technology.Recognizing emotions from facial expression and electroencephalography (EEG) emotion signals are complicated tasks that require substantial issues to be solved in order to
Candra, Henry
core
Linear discriminant analysis models and parameters. [PDF]
Linear discriminant analysis models and parameters.
Joseph F. Panozzo (465926) +3 more
core +1 more source

