Face Recognition Using Simplified Probabilistic Linear Discriminant Analysis
International Journal of Advanced Robotic Systems, 2012 Face recognition in uncontrolled environments remains an open problem that has not been satisfactorily solved by existing recognition techniques.
Boštjan Vesnicer +3 more
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Alternating direction method of multipliers for penalized zero-variance discriminant analysis [PDF]
, 2015 We consider the task of classification in the high dimensional setting where the number of features of the given data is significantly greater than the number of observations.
Ames, Brendan +2 more
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Comparative Performance of Several Robust Linear Discriminant Analysis Methods
Revstat Statistical Journal, 2007 The problem of the non-robustness of the classical estimates in the setting of the quadratic and linear discriminant analysis has been addressed by many authors: Todorov et al. [19, 20], Chork and Rousseeuw [1], Hawkins and McLachlan [4], He and Fung [5]
Valentin Todorov , Ana M. Pires
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Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis
Mehran University Research Journal of Engineering and Technology, 2021 This paper presents an efficient Optical Character Recognition (OCR) system for offline isolated Pashto characters recognition. Developing an OCR system for handwritten character recognition is a challenging task because of the handwritten characters ...
Sardar Jehangir +4 more
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Linear discriminant analysis in network traffic modeling
Tongxin xuebao, 2005 It was not easy to give an accurate judgment of whether the traffic model fitting the actual traffic. The common method was to compare the Hurst parameter, data histogram and autocorrelation function.
ZHANG Bing-yi +3 more
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Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis
Sensors, 2016 This paper proposes a view-invariant gait recognition framework that employs a unique view invariant model that profits from the dimensionality reduction provided by Direct Linear Discriminant Analysis (DLDA).
Jose Portillo-Portillo +7 more
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A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis
Applied Sciences, 2022 Although most cases are identified at a late stage, breast cancer is the most public malignancy amongst women globally. However, mammography for the analysis of breast cancer is not routinely available at all general hospitals.
Marion Olubunmi Adebiyi +3 more
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Nature Reviews Methods PrimersCitation: 'linear discriminant analysis' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10133 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
Dianne Cook, Ursula Laa
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QR-FOLDA: A Fast Orthogonal Linear Discriminant Analysis Based on QR Decomposition
MathematicsOrthogonal Linear Discriminant Analysis (OLDA) has been widely studied for dimensionality reduction, as the orthogonality constraints on its projection matrix enable more effective elimination of redundant features compared to conventional Linear ...
Yuchuan Liu +5 more
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PERBANDINGAN ANALISIS DISKRIMINAN LINIER KLASIK DAN ANALISIS DISKRIMINAN LINIER ROBUST UNTUK PENGKLASIFIKASIAN KESEJAHTERAAN MASYARAKAT KABUPATEN/KOTA DI JAWA TENGAH [PDF]
, 2013 Discriminant analysis is a statistics method which is used to classify an individual or object into certain group which has determined based on its independent variables.
KARTIKAWATI, ANA
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