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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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Semi‐supervised linear discriminant analysis [PDF]
Journal of Chemometrics, 2011 Fisher's linear discriminant analysis is one of the most commonly used and studied classification methods in chemometrics. The method finds a projection of multivariate data into a lower dimensional space so that the groups in the data are well separated.
Toher, Deirdre +5 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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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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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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Initializing probabilistic linear discriminant analysis [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Moschoglou, S. +3 more
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A Direct Estimation Approach to Sparse Linear Discriminant Analysis [PDF]
, 2011 This paper considers sparse linear discriminant analysis of high-dimensional data. In contrast to the existing methods which are based on separate estimation of the precision matrix $\O$ and the difference $\de$ of the mean vectors, we introduce a simple
Cai, Tony, Liu, Weidong
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Applied SciencesColorectal cancer is one of the most commonly diagnosed cancers in developed countries. Although the gold-standard diagnosis technique is the histological analysis of colon biopsies, it is important to investigate different diagnostic tools because the ...
Maria Lasalvia +2 more
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