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
DC programming and DCA for sparse Fisher linear discriminant analysis
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-016-2216-9
Abstract: Abstract We consider the supervised pattern classification in the high-dimensional setting, in which the number of features is much larger than the number of observations. We present a novel approach to the sparse Fisher linear… read more here.
Keywords: fisher linear; sparse fisher; programming dca; linear discriminant ... 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
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
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
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
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
Generalized linear discriminant analysis based on euclidean norm for gait recognition
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0540-0
Abstract: One of the key issues in gait recognition is how to extract the low dimensional feature. Linear Discriminant Analysis (LDA) is a commonly used method for linear dimension reduction. This paper proposed a generalized LDA… read more here.
Keywords: linear discriminant; based euclidean; recognition; gait recognition ... See more keywords
Comparison between visual assessments and different variants of linear discriminant analysis to the classification of Raman patterns of inkjet printer inks
Sign Up to like & getrecommendations! Published in 2021 at "Forensic Chemistry"
DOI: 10.1016/j.forc.2021.100336
Abstract: Abstract Inkjet printers are devices that are frequently used in illicit activities like threats, extorsions, or the production of counterfeited currency. In these cases, scientific information may play a critical role to develop investigative leads… read more here.
Keywords: linear discriminant; variants linear; discriminant analysis; printer ... See more keywords
Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Multivariate Analysis"
DOI: 10.1016/j.jmva.2022.104993
Abstract: Whilst influence functions for linear discriminant analysis (LDA) have been found for a single discriminant when dealing with two groups, until now these have not been derived in the setting of a general number of… read more here.
Keywords: analysis; influence; linear discriminant; functions linear ... See more keywords
An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.01.007
Abstract: BACKGROUND Brain-computer interface (BCI) is a combination of hardware and software that provides a non-muscular channel to send various messages and commands to the outside world and control external devices such as computers. BCI helps… read more here.
Keywords: linear discriminant; packet transform; deceit identification; identification ... See more keywords