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
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
Dynamic classification using credible intervals in longitudinal discriminant analysis
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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 composite weighted quantile screening for ultrahigh dimensional discriminant analysis
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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
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
Research on leaf species identification based on principal component and linear discriminant analysis
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1439-6
Abstract: A method of leaf species identification based on principal component and linear discriminant analysis is proposed in this paper. The method consists of four phases. Leaf images obtained by cameras or other devices typically have… read more here.
Keywords: linear discriminant; principal component; species identification; leaf species ... See more keywords
Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1270-0
Abstract: Mental tasks classification such as motor imagery, based on EEG signals is an important problem in brain computer interface systems (BCI). One of the major concerns in BCI is to have a high classification accuracy.… read more here.
Keywords: classification; motor imagery; linear discriminant; discriminant analysis ... See more keywords
Sparse L1-norm-based linear discriminant analysis
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DOI: 10.1007/s11042-017-5193-9
Abstract: Linear discriminant analysis (LDA) is a well-known feature extraction method, which has been widely used for many pattern recognition problems. However, the objective function of conventional LDA is based on L2-norm, which makes LDA sensitive… read more here.
Keywords: sparse norm; norm based; linear discriminant; discriminant analysis ... See more keywords
Deep linear discriminant analysis hashing for image retrieval
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DOI: 10.1007/s11042-018-6855-y
Abstract: Currently, due to the exponential growth of online images, it is necessary to consider image retrieval among large number of images, which is very time-consuming and unscalable. Although many hashing methods has been proposed, they… read more here.
Keywords: image; hash; linear discriminant; image retrieval ... See more keywords
Class-adapted local fisher discriminant analysis to reduce highly-dimensioned data on commodity hardware: application to hyperspectral images
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6887-3
Abstract: Local Fisher Discriminant Analysis (LFDA) is a supervised feature extraction technique that proved to be efficient in reducing several types of data. However, it depends on the number of samples per class in a way… read more here.
Keywords: local fisher; class; fisher discriminant; hyperspectral images ... See more keywords