[PDF][PDF] Usage of principal component analysis (PCA) in AI applications
SB Mohammed, A Khalid, SEF Osman… - Int. J. Eng. Res …, 2016 - academia.edu
Principal Component Analysis (PCA) is a powerful statistical technique for variable
reduction, It used when variables are highly correlated. PCA becomes an essential tool for …
reduction, It used when variables are highly correlated. PCA becomes an essential tool for …
A noise robust VDD composed PCA-LDA model for face recognition
K Juneja - International conference on information …, 2017 - Springer
Face recognition is most widely used biometric realization approach implemented as online,
offline and mobile services. Noise is one major disturbing factor that misrepresents the …
offline and mobile services. Noise is one major disturbing factor that misrepresents the …
Face Recognition Techniques and Implementation
I Bamba, Yashika, J Singh, P Chawla - Emerging Technologies in Data …, 2022 - Springer
Human face is multidimensional structure that conveys expression. Face recognition is one
of the most essential techniques used these days for security purposes. Face recognition is …
of the most essential techniques used these days for security purposes. Face recognition is …
A Face Recognition Conference Attendance System Based on Deep Learning
S Cui, H Wang, J Guo, J Liu - 2023 4th International …, 2023 - ieeexplore.ieee.org
Face recognition based on deep learning is an important application of artificial intelligence.
For meeting check-in and other scenes that need to take into account both recognition …
For meeting check-in and other scenes that need to take into account both recognition …