Results 21 to 30 of about 24,268,118 (293)
, 2021 Recently, an effective improvement of linear discriminant analysis (LDA) called L2-norm linear discriminant analysis via the Bhattacharyya error bound estimation (L2BLDA) was proposed in its adaptability and nonsingularity.
Li, CN +5 more
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Predicting software analysis process risks using linear stepwise discriminant analysis : Statistical methods [PDF]
, 2015 The aim of this work is to introduce the linear stepwise discriminant analysis model to predict software risks in software analysis development process. These methods were used to measure and predict risks by using control techniques.
Abu Naser, Samy S. +3 more
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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
doaj +1 more source
Local Feature Discriminant Projection [PDF]
, 2016 In this paper, we propose a novel subspace learning algorithm called Local Feature Discriminant Projection (LFDP) for supervised dimensionality reduction of local features.
Zhen, Xiantong +3 more
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Semi-supervised linear discriminant analysis [PDF]
, 2011 peer-reviewedFisher'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 ...
Downey, Gerard +5 more
core +2 more sources
Linear discriminant analysis: A detailed tutorial [PDF]
AI Communications, 2017 Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a pre-processing step for machine learning and pattern classification applications. At the same time, it is usually used as a black box, but (sometimes) not well understood.
Alaa Tharwat +3 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +2 more sources