Results 21 to 30 of about 22,335,396 (256)
Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm [PDF]
, 2006 In recent years, a variety of relevance feedback (RF) schemes have been developed to improve the performance of content-based image retrieval (CBIR). Given user feedback information, the key to a RF scheme is how to select a subset of image features to ...
Tang, X +7 more
core +1 more source
Low-Rank Kernel-Based Semisupervised Discriminant Analysis
Applied Computational Intelligence and Soft Computing, 2016 Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu +3 more
doaj +1 more source
Random projections as regularizers: learning a linear discriminant ensemble from fewer observations than dimensions [PDF]
, 2013 We examine the performance of an ensemble of randomly-projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observations than data dimensions.
Kabán, Ata, Durrant, Robert J.
core +1 more source
Locality-Preserving Multiprojection Discriminant Analysis
MathematicsLinear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. However, its discriminative performance is still severely limited by the following factors.
Jiajun Ma
doaj +1 more source
ESG companies classification: application to Nasdaq companies
Finance, Markets and Valuation, 2019 This paper analyzes the discrimination of sustainable companies taking into account their overall ESG score. For this, a linear discriminant model is described through economic and financial variables, the size of the companies, as well as their ...
Oliver-Muncharaz, Javier
doaj +1 more source
FEBS Open Bio, EarlyView.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
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
FEBS Open Bio, EarlyView.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
Evaluating discriminant analysis results [PDF]
, 2013 In discrete discriminant analysis (DDA) different models often exhibit different classification performances. Therefore, the idea of combining models has increasingly gained importance.
Ferreira, A., Cardoso, M. G. M. S.
core +3 more sources
CorrDA: correlation-matrix driven discriminant analysis
Statistical Theory and Related FieldsThis article introduces a novel approach to integrating correlation matrix information from training samples to construct a classification rule for testing samples.
Feifei Yan +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source