Block-wise two-directional 2DPCA with ensemble learning for face recognition-Reference-Cited by-同舟云学术

Block-wise two-directional 2DPCA with ensemble learning for face recognition

Published:2013-05 Issue: Volume:108 Page:111-117
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Mashhoori Ali,Zolghadri Jahromi Mansoor

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference20 articles.

1. Principal Component Analysis;Jolliffe,1986

2. Low-dimensional procedure for the characterization of human faces;Sirovitch;J. Opt. Soc. Am. A,1987

3. Eigenfaces for Recognition;Turk;J. Cognitive Neurosci.,1991

4. M. Turk, A. Pentland, Face recognition using eigenfaces, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (1991) 586–591.

5. A new approach to appearance-based face representation and recognition;Yang;IEEE Trans. Pattern Anal. Mach. Intell.,2004

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AN IMPROVED FRACTIONAL TWO-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS FOR FACE RECOGNITION;Jordanian Journal of Computers and Information Technology;2022

2. Forecasting conflict using a diverse machine-learning ensemble: Ensemble averaging with multiple tree-based algorithms and variance promoting data configurations;International Interactions;2021-12-01

3. Design and analysis of various bidirectional 2DPCAs in feature partitioning framework;Multimedia Tools and Applications;2021-04-07

4. An efficient face recognition approach combining likelihood-based sufficient dimension reduction and LDA;Multimedia Tools and Applications;2020-09-08

5. Finger vein biometric verification using block multi-scale uniform local binary pattern features and block two-directional two-dimension principal component analysis;Optik;2020-04