Face Detection Using Linear Discriminant Analysis (Lda) Method and Support Vector Machine (Svm)

doi:10.21070/joincs.v1i2.521

JOURNAL ARTICLE

Face Detection Using Linear Discriminant Analysis (Lda) Method and Support Vector Machine (Svm)

Year: 2019 Journal: JOINCS (Journal of Informatics Network and Computer Science) Vol: 1 (2) Publisher: Universitas Muhammadiyah Sidoarjo

DOI: 10.21070/joincs.v1i2.521

Get Full-Text PDF Get Analytical Report

Keywords:

Linear discriminant analysis Support vector machine Pattern recognition (psychology) Artificial intelligence Kernel Fisher discriminant analysis Computer science Structured support vector machine Facial recognition system Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.27

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face Detection Using Linear Discriminant Analysis (Lda) Method and Support Vector Machine (Svm)

Metrics

Topics

Related Documents

Comparative Study of Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machine (SVM) In Dataset

Face Recognition Using Fisher Linear Discriminant Analysis and Support Vector Machine

Face Mask Wearing Detection Using Support Vector Machine (SVM)

Face recognition using Gabor-based direct linear discriminant analysis and support vector machine

3T‐FASDM: Linear discriminant analysis‐based three‐tier face anti‐spoofing detection model using support vector machine