A new solution to one sample problem in face recognition using FLDA
type: Item
instance of: scholarly article
title: A new solution to one sample problem in face recognition using FLDA
zbMATH Open document ID: 1221.62096
author: Mehmet Koç
author: Atalay Barkana
published in: Applied Mathematics and Computation
publication date: 2011-07-22T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5931391
zbMATH Keywords: Fisher linear discriminant analysis
zbMATH Keywords: QRCP-decomposition
zbMATH Keywords: singular value decomposition
zbMATH Keywords: virtual face image
describes a project that uses: FERET
describes a project that uses: Yale Face
describes a project that uses: ORL face
MaRDI profile type: Publication
full work available at URL: j.amc.2011.05.048
OpenAlex ID: W1968871700
cites work: Face recognition using FLDA with single training image per person
cites work: Kernel quadratic discriminant analysis for small sample size problem
cites work: Face recognition from a single image per person: a survey
cites work: A new face recognition method based on SVD perturbation for single example image per person
cites work: On solving the face recognition problem with one training sample per subject
cites work: The Non-Central Multivariate Beta Distribution
cites work: Q4860766
DOI: 10.1016/J.AMC.2011.05.048
description: scientific article; zbMATH DE number 5931391