Results 111 to 120 of about 305,422 (309)
Normalization discriminant independent component analysis
In face recognition, feature extraction techniques attempts to search for appropriate representation of the data. However, when the feature dimension is larger than the samples size, it brings performance degradation.
Liew, Yee Ping +4 more
core +1 more source
Discriminant Analysis with Spatial Weights for Urban Land Cover Classification [PDF]
Classifying urban area images is challenging because of the heterogeneous nature of the urban landscape resulting in mixed pixels and classes with highly variable spectral ranges. Approaches using ancillary data, such as knowledge based or expert systems,
Sharolyn Anderson +5 more
core
Liquid atmospheric pressure matrix‐assisted laser desorption/ionization (LAP‐MALDI) mass spectrometry (MS) provides multiplexed biotyping of microbial cultures using a fast and simple workflow. This is demonstrated for clinically relevant bacteria, resulting in accurate antimicrobial resistance (AMR) detection, speciation by MS/MS sequencing and ...
Lily R. Adair +3 more
wiley +1 more source
METHODS FOR TESTING DISCRIMINANT VALIDITY [PDF]
The study presents three methods which can be used to assess discriminant validity for multi-item scales. Q-sorting is presented as a method that can be used in early stages of research, being more exploratory, while the chi-square difference test and ...
Adriana ZAIŢ, Patricea Elena BERTEA
doaj
Low-Rank Kernel-Based Semisupervised Discriminant Analysis
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
Single‐cell transcriptomics reveals the cellular response of Macrobrachium hainanense to carbonate alkalinity stress. Alkalinity stress impairs branchial ammonia excretion, induces mitochondrial dysfunction, and drives cell‐type‐specific changes in gills and hemocytes.
Yiting Jin +6 more
wiley +1 more source
DISCRIMINANT STEPWISE PROCEDURE
Stepwise procedure is now probably the most popular tool for automatic feature selection. In the most cases it represents model selection approach which evaluates various feature subsets (so called wrapper). In fact it is heuristic search technique which
Mariusz Kubus
doaj
Fuzzy Discriminant Analysis with Application
In the current research, two methods of data classification were used, namely; the Linear Discriminant analysis (LDA) and the Fuzzy Discriminant Analysis (FDA).
Rafal Talal Saadi, Alla A. Hamoodat
doaj +1 more source
DISCRIMINANT ANALYSIS IN MARKETING RESEARCH [PDF]
This paper classifies among marketing researches aiming to study the influence that the following independent variables (explanatory) have: "Estimating the expenses incurred in Centre Development Region, including country of residence" and the variable ...
Erika KULCSÁR
doaj
This study reveals that long non‐coding RNAs represent important regulatory components underlying pear domestication and improvement. Integrative multi‐omics analyses identify selected lncRNAs associated with fruit traits, while functional validation uncovers a lignin‐related lncRNA, lncRNA‐pys, that promotes lignin accumulation.
Bobo Song +9 more
wiley +1 more source

