Results 1 to 10 of about 97,234 (114)

Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis [PDF]

Journal of Imaging
In the field of video image processing, high definition is one of the main directions for future development. Faced with the curse of dimensionality caused by the increasingly large amount of ultra-high-definition video data, effective dimensionality ...
Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu   +3 more
doaj   +2 more sources

Linear discriminant analysis for multiple functional data analysis. [PDF]

J Appl Stat, 2021
Gardner-Lubbe S.
europepmc   +2 more sources

Classification of Heart Disease Using Linear Discriminant Analysis Algorithm [PDF]

E3S Web of Conferences, 2023
Ischaemic coronary heart disease is the number one cause of death globally. Detecting this disease can only be done by consulting directly with a cardiologist at a cost that is certainly not small.
Isnanto R. Rizal, Rashad Ibnu, Edi Widodo Catur   +2 more
doaj   +1 more source

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

IEEE Access, 2023
Recently, an absolute value inequalities discriminant analysis criterion with robustness and sparseness for supervised dimensionality reduction was studied.
Chun-Na Li, Yi Li, Yan-Hui Meng, Pei-Wei Ren, Yuan-Hai Shao   +4 more
doaj   +1 more source

Efficient Regression-Based Linear Discriminant Analysis for Side-Channel Security Evaluations

Transactions on Cryptographic Hardware and Embedded Systems, 2023
32-bit software implementations become increasingly popular for embedded security applications. As a result, profiling 32-bit target intermediate values becomes increasingly needed to evaluate their side-channel security.
Gaëtan Cassiers, Henri Devillez, François-Xavier Standaert, Balazs Udvarhelyi   +3 more
doaj   +1 more source

Linear discriminant analysis of interclass correlated spatio-temporal data

Lietuvos Matematikos Rinkinys, 2003
There is not abstract.
Jūratė Šaltytė-Benth, Kęstutis Dučinskas   +1 more
doaj   +3 more sources

MINERAL WATERS CLASSIFICATION USING FUZZY LINEAR DISCRIMINANT ANALYSIS

Studia Universitatis Babes-Bolyai Chemia, 2020
Fuzzy linear discriminant analysis is efficiently applied for the characterization and classification of some Romanian and German mineral waters according to their mineral composition. The samples were successfully classified according to the degrees of
Alexandrina GUIDEA, Radu D. GĂCEANU, Horia F. POP, Costel SÂRBU   +3 more
doaj   +1 more source

Z-score linear discriminant analysis for EEG based brain-computer interfaces. [PDF]

PLoS ONE, 2013
Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption ...
Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang, Peiyang Li, Dezhong Yao   +5 more
doaj   +1 more source

Similarity-based Fisher Linear Discriminant Analysis for Triangular Fuzzy Number [PDF]

Jisuanji gongcheng, 2018
For the classification problem of the triangular fuzzy number,this paper constructs similarity-based Fisher linear discriminant analysis model.The model is the generalization of the classical Fisher linear discriminant analysis model.The similarity of ...
HUANG Ya’nan,WEI Lili
doaj   +1 more source

Big Data Classification Efficiency Based on Linear Discriminant Analysis

Iraqi Journal for Computer Science and Mathematics, 2020
The proliferation of online platforms recently has led to unprecedented increase in data generation; this has given rise to the concept of big data which characterizes data in terms of volume, velocity, variety, and veracity.
Ahmed Hussein Ali, Zahraa Faiz Hussain, Shamis N. Abd   +2 more
doaj   +1 more source