2D Dimensionality Reduction Methods without Loss
In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction w...
Main Authors: | S. Ahmadkhani, P. Adibi, A. ahmadkhani |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahrood University of Technology
2019-03-01
|
Series: | Journal of Artificial Intelligence and Data Mining |
Subjects: | |
Online Access: | http://jad.shahroodut.ac.ir/article_1117_3e2e7b5e813293f0fafcb027bad90d1d.pdf |
Similar Items
-
Dimensionality Reduction for Handwritten Digit Recognition
by: Ankita Das, et al.
Published: (2018-12-01) -
3-Dimensional facial expression recognition in human using multi-points warping
by: Olalekan Agbolade, et al.
Published: (2019-12-01) -
An independent evaluation of subspace facial recognition algorithms
by: Surajpal, Dhiresh Ramchander
Published: (2008) -
A High Precision Feature Based on LBP and Gabor Theory for Face Recognition
by: Peng Ouyang, et al.
Published: (2013-04-01) -
A scheme of human face recognition in complex environments
by: Cui, Wei
Published: (2014)