Evaluation of Classical Least Squares Discriminant Analysis (CLS‐DA) as a Novel Supervised Pattern Recognition Technique
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3609
Abstract: Multivariate calibration techniques and machine learning algorithms are inextricably linked within the realm of chemometrics and data analysis. Classical least squares (CLS) modeling, a fundamental multivariate regression approach, has traditionally been utilized for quantitative analysis… read more here.
Keywords: classical least; least squares; pattern recognition; analysis ... See more keywords
Fault Diagnosis Based on the Integration of Exponential Discriminant Analysis and Local Linear Embedding
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.22921
Abstract: Industrial process data have the characteristics of high dimensions and nonlinearity, so it is very important to extract the data features for fault diagnosis. Two kinds of improved exponential discriminant analysis methods, local linear exponential… read more here.
Keywords: exponential discriminant; analysis; fault diagnosis; discriminant analysis ... See more keywords
Facial Morphometric Features in Autism Spectrum Disorder: Preliminary Findings From Canonical Discriminant Analysis
Sign Up to like & getrecommendations! Published in 2025 at "Developmental Neurobiology"
DOI: 10.1002/dneu.23011
Abstract: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and the presence of restricted, repetitive behaviors. Although there is no cure for ASD, early diagnosis and evidence‐based interventions can significantly… read more here.
Keywords: canonical discriminant; discriminant analysis; spectrum disorder; morphometric features ... See more keywords
F $F$ ‐norm two‐dimensional linear discriminant analysis and its application on face recognition
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22941
Abstract: Two‐dimensional linear discriminant analysis (2DLDA) is a widely applied extension of LDA that can cope with matrix input samples directly. However, its construction is based on a squared F $F$ ‐norm which will lead to… read more here.
Keywords: two dimensional; discriminant analysis; face; linear discriminant ... See more keywords
Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13155
Abstract: PURPOSE Multiparametric MRI (mpMRI) has shown promise in the detection and localization of prostate cancer foci. Although techniques have been previously introduced to delineate lesions from mpMRI, these techniques were evaluated in datasets with T2… read more here.
Keywords: discriminant analysis; prostate; delineation; lesion delineation ... See more keywords
New Quadratic Discriminant Analysis Algorithms for Correlated Audiometric Data
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10257
Abstract: Paired organs like eyes, ears, and lungs in humans exhibit similarities, and data from these organs often display remarkable correlations. Accounting for these correlations could enhance classification models used in predicting disease phenotypes. To our… read more here.
Keywords: quadratic discriminant; new quadratic; analysis; qda algorithms ... See more keywords
Dynamic classification using credible intervals in longitudinal discriminant analysis
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in Medicine"
DOI: 10.1002/sim.7397
Abstract: Recently developed methods of longitudinal discriminant analysis allow for classification of subjects into prespecified prognostic groups using longitudinal history of both continuous and discrete biomarkers. The classification uses Bayesian estimates of the group membership probabilities… read more here.
Keywords: longitudinal discriminant; classification; using credible; credible intervals ... See more keywords
Robust discriminant analysis
Sign Up to like & getrecommendations! Published in 2024 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.70003
Abstract: Discriminant analysis (DA) is one of the most popular methods for classification due to its conceptual simplicity, low computational cost, and often solid performance. In its standard form, DA uses the arithmetic mean and sample… read more here.
Keywords: robust discriminant; discriminant analysis; analysis;
Robust composite weighted quantile screening for ultrahigh dimensional discriminant analysis
Sign Up to like & getrecommendations! Published in 2020 at "Metrika"
DOI: 10.1007/s00184-019-00758-x
Abstract: This paper is concerned with feature screening for the ultrahigh dimensional discriminant analysis. A new feature screening procedure based on the conditional quantile is proposed. The proposed procedure has some desirable features. First, it is… read more here.
Keywords: ultrahigh dimensional; dimensional discriminant; screening ultrahigh; discriminant analysis ... See more keywords
Sexual dimorphism of the humerus bones in a French sample: comparison of several statistical models including machine learning models
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-025-03417-1
Abstract: Analysis of humeral measurements from a contemporary French sample. Comparison of predictive accuracy of seven statistical models. Classification accuracy was greater than 90% for all models without selection methods. Methods of variables selection was improved… read more here.
Keywords: statistical models; analysis; machine; french sample ... See more keywords
Unsupervised emotion recognition algorithm based on improved deep belief model in combination with probabilistic linear discriminant analysis
Sign Up to like & getrecommendations! Published in 2019 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-019-01235-y
Abstract: Since the initial weight matrix between the last hidden layer of the network and the classification layer is usually generated randomly, the weight matrix does not have the discrimination ability to accurately classify the facial… read more here.
Keywords: deep belief; network; linear discriminant; discriminant analysis ... See more keywords