Principal Component Analysis in Linear Discriminant Analysis Space for Face Recognition

2014 5th International Conference on Digital Home ◽

10.1109/icdh.2014.13 ◽

2014 ◽

Cited By ~ 1

Author(s):

Hang Su ◽

Xuansheng Wang

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Linear Discriminant

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Face Recognition Using Principal Component Analysis-Fuzzy Linear Discriminant Analysis and Dynamic Fuzzy Neural Network

Lecture Notes in Electrical Engineering - Future Wireless Networks and Information Systems ◽

10.1007/978-3-642-27323-0_73 ◽

2012 ◽

pp. 577-586 ◽

Cited By ~ 1

Author(s):

Sai Wang ◽

Huiwen Deng

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Fuzzy Neural Network ◽

Principal Component ◽

Component Analysis ◽

Linear Discriminant ◽

Fuzzy Neural

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On application of generalized Jacobi method in face recognition by linear discriminant analysis and principal component analysis

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) ◽

10.1109/icieam.2016.7911673 ◽

2016 ◽

Cited By ~ 1

Author(s):

V. V. Mokeyev

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Jacobi Method ◽

Linear Discriminant

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Face Recognition Based on Principal Component Analysis and Linear Discriminant Analysis

International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering ◽

10.15662/ijareeie.2015.0408046 ◽

2015 ◽

Vol 4 (8) ◽

pp. 7266-7274 ◽

Cited By ~ 1

Author(s):

Riya nka

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Linear Discriminant

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Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques

IJARCCE ◽

10.17148/ijarcce.2015.4373 ◽

2015 ◽

pp. 308-310 ◽

Cited By ~ 3

Author(s):

Amritpal Kaur ◽

Sarabjit Singh ◽

Taq dir

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Linear Discriminant ◽

Analysis Techniques

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Face recognition using combined non-negative principal component analysis and linear discriminant analysis

2013 6th International Congress on Image and Signal Processing (CISP) ◽

10.1109/cisp.2013.6745266 ◽

2013 ◽

Cited By ~ 1

Author(s):

Yan Zhang ◽

Bin Yu

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Linear Discriminant

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Comparison of principal component analysis and linear discriminant analysis for face recognition (March 2007)

AFRICON 2007 ◽

10.1109/afrcon.2007.4401538 ◽

2007 ◽

Author(s):

P. E. Robinson

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Linear Discriminant

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Face Recognition Using Principal Component Analysis and Linear Discriminant Analysis on Holistic Approach in Facial Images Database

IOSR Journal of Engineering ◽

10.9790/3021-021241523 ◽

2012 ◽

Vol 02 (12) ◽

pp. 15-23 ◽

Cited By ~ 9

Author(s):

Satonkar Suhas S.

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Holistic Approach ◽

Component Analysis ◽

Linear Discriminant ◽

Facial Images

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Face Recognition Combing Principal Component Analysis and Fractional-step Linear Discriminant analysis

2006 8th international Conference on Signal Processing ◽

10.1109/icosp.2006.345816 ◽

2006 ◽

Author(s):

Huiyuan Wang ◽

Zengfeng Wang ◽

Yan Leng ◽

Xiaojuan Wu

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Fractional Step ◽

Linear Discriminant

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Face Recognition System Using Hybrid Approach of Both Principal Component Analysis and Linear Discriminant Analysis

IJARCCE ◽

10.17148/ijarcce.2017.6362 ◽

2017 ◽

Vol 6 (3) ◽

pp. 276-280

Author(s):

Priyanka Sood ◽

Er. Shivali Puri ◽

Er. Varinderjit Kaur ◽

Dr. Naveen Dhillon

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Hybrid Approach ◽

Principal Component ◽

Component Analysis ◽

Recognition System ◽

Linear Discriminant ◽

Face Recognition System

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2D Image Matrix-Based Discriminator

Computational Intelligence and its Applications - Biometric Image Discrimination Technologies ◽

10.4018/978-1-59140-830-7.ch011 ◽

2006 ◽

pp. 258-286

Author(s):

David Zhang ◽

Xiao-Yuan Jing ◽

Jian Yang

Keyword(s):

Principal Component Analysis ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

Fisher Linear Discriminant ◽

Linear Discriminant ◽

Image Projection ◽

Projection Techniques

This chapter presents two straightforward image projection techniques — two-dimensional (2D) image matrix-based principal component analysis (IMPCA, 2DPCA) and 2D image matrix-based Fisher linear discriminant analysis (IMLDA, 2DLDA). After a brief introduction, we first introduce IMPCA. Then IMLDA technology is given. As a result, we summarize some useful conclusions.

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