Results 31 to 40 of about 305,422 (309)
Probabilistic Class-Specific Discriminant Analysis
IEEE Access, 2020 In this paper we formulate a probabilistic model for class-specific discriminant subspace learning. The proposed model can naturally incorporate the multi-modal structure of the negative class, which is neglected by existing class-specific methods ...
Alexandros Iosifidis
doaj +1 more source
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
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
A hierarchical nonparametric discriminant analysis approach for a content-based image retrieval system [PDF]
, 2005 This paper proposes a Hierarchical Nonparmetric Discriminant Analysis (HNDA) content-based image retrieval (CBIR) system for E-Business applications. It has the potential to become an important and integral component for future e-Business applications ...
K.-P. Chung +3 more
core +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
Ekuilibrium: Jurnal Ilmiah Bidan Ilmu Ekonomi, 2020 This study aims to determine whether there are clear differences between groups on the dependent variable. This analysis uses the independent variable Life Expectancy (X1), Number of Health Facilities (Puskesmas) (X2), Number of Facilities (Supporting ...
Ramli Lewenussa, Rais Dera Pua Rawi
doaj +1 more source
Discriminant analysis predicted undisciplined policemen
Science Progress, 2021 In the wider spectrum of Taiwanese public service spheres, the herculean services and dedication of its committed Police personnel have long been recognized, respected, and admired.
Kuang-Tai Liu, Ryi-Kui Yu, Hsin-Yun Ma
doaj +1 more source
Discrimination in Promotion [PDF]
SSRN Electronic Journal, 2020 Why do women hit the glass ceiling? Women are hired, but then fail to rise through the ranks. We propose a novel explanation for this pattern, namely preference- and belief-free discrimination. In our setting, an employer can increase effort by inducing differential value distributions for a promotion across workers, who compete for the promotion by ...
openaire +2 more sources
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
Discriminant Analysis for Correlated Data [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2019 The correlated data are of great importance in the practical life, for example we may want to track the case of a patient after taking a treatment for consecutive periods of time. Also, we may want to track a disease with the members of a certain family.
Ahmed Mohamed Mohamed El-Sayed
doaj +1 more source