Results 31 to 40 of about 1,506,457 (286)

Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis

open access: yesMehran 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

Linear discriminant analysis in network traffic modeling

open access: yesTongxin 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

Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis

open access: yesSensors, 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
doaj   +1 more source

Sensible functional linear discriminant analysis [PDF]

open access: yesComputational Statistics & Data Analysis, 2018
The focus of this paper is to extend Fisher's linear discriminant analysis (LDA) to both densely re-corded functional data and sparsely observed longitudinal data for general $c$-category classification problems. We propose an efficient approach to identify the optimal LDA projections in addition to managing the noninvertibility issue of the covariance
Lu-Hung Chen, Ci-Ren Jiang
openaire   +2 more sources

QR-FOLDA: A Fast Orthogonal Linear Discriminant Analysis Based on QR Decomposition

open access: yesMathematics
Orthogonal 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
doaj   +1 more source

Initializing probabilistic linear discriminant analysis [PDF]

open access: yes2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Stylianos Moschoglou   +3 more
openaire   +3 more sources

Classifying Raman Spectra of Colon Cells by Principal Component Analysis—Linear Discriminant Analysis and Partial Least Squares—Linear Discriminant Analysis Methods

open access: yesApplied Sciences
Colorectal 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
doaj   +1 more source

Folding a small protein using harmonic linear discriminant analysis. [PDF]

open access: yesJournal of Chemical Physics, 2018
Many processes of scientific importance are characterized by time scales that extend far beyond the reach of standard simulation techniques. To circumvent this impediment, a plethora of enhanced sampling methods has been developed. One important class of
Dan Mendels   +4 more
semanticscholar   +1 more source

Dose‐dependent hepatotoxicity of hydrogen peroxide in HepG2 cells and its modulation by CYP450 induction

open access: yesFEBS Open Bio, EarlyView.
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks   +4 more
wiley   +1 more source

OFFLINE LINEAR DISCRIMINANT ANALYSIS CLASSFICATION OF TWO CLASS EEG SIGNALS

open access: yesIraqi Journal of Information & Communication Technology, 2019
This paper investigates the use of LDA algorithm In the EEG classification. EEG feature extraction is Implemented to reduce the dimensionality of data. The Sliding Window Technique (SWT) is used to calculate the mean within each window samples.
Haider A. Abdulkareem   +1 more
doaj   +1 more source

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