Analysis of PCA and LDA features for facial expression recognition using SVM and HMM classifiers
The face of a person is full of emotions. The emotions can be used to interact between
human beings and computers. Different systems have been developed to recognize …
human beings and computers. Different systems have been developed to recognize …
Faster rcnn target detection algorithm integrating cbam and fpn
W Sheng, X Yu, J Lin, X Chen - Applied Sciences, 2023 - mdpi.com
In the process of image shooting, due to the influence of angle, distance, complex scenes,
illumination intensity, and other factors, small targets and occluded targets will inevitably …
illumination intensity, and other factors, small targets and occluded targets will inevitably …
[PDF][PDF] K-nearest neighbor and naive Bayes classifier algorithm in determining the classification of healthy card Indonesia giving to the poor
Health is a human right and one of the elements of welfare that must be realized in the form
of giving various health efforts to all the people of Indonesia. Poverty in Indonesia has …
of giving various health efforts to all the people of Indonesia. Poverty in Indonesia has …
Targeting HIV/HCV coinfection using a machine learning-based multiple quantitative structure-activity relationships (multiple QSAR) method
Y Wei, W Li, T Du, Z Hong, J Lin - International journal of molecular …, 2019 - mdpi.com
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs
when a patient is simultaneously infected with both human immunodeficiency virus type-1 …
when a patient is simultaneously infected with both human immunodeficiency virus type-1 …
Fractional bat and multi-kernel-based spherical SVM for low resolution face recognition
R Thomas, MJS Rangachar - International Journal of Pattern …, 2017 - World Scientific
Face recognition is an important aspect of the biometric surveillance system. Generally, face
recognition is a type of biometric system that can identify a specific individual by analyzing …
recognition is a type of biometric system that can identify a specific individual by analyzing …
Performance improvement in classification rate of appearance based statistical face recognition methods using SVM classifier
R Senthilkumar… - 2017 4th International …, 2017 - ieeexplore.ieee.org
This paper compares the performance improvement in recognition rate of different face
recognition methods. The face recognition methods such as 1dPCA, 2dPCA, KPCA, ICA and …
recognition methods. The face recognition methods such as 1dPCA, 2dPCA, KPCA, ICA and …
A robust face recognition system based on curvelet and fractal dimension transforms
AS Al-Waisy, R Qahwaji, S Ipson… - … on Computer and …, 2015 - ieeexplore.ieee.org
In this paper, a powerful face recognition system for authentication and identification tasks is
presented and a new facial feature extraction approach is proposed. A novel feature …
presented and a new facial feature extraction approach is proposed. A novel feature …
[PDF][PDF] Various classifiers based on their accuracy for age estimation through facial features
A Tomar - International Research Journal of Engineering and …, 2016 - academia.edu
Facial recognition technique is one of array of technologies being developed to address a
fundamental concern of modern societies: the problem of disembodied identities, or the …
fundamental concern of modern societies: the problem of disembodied identities, or the …
I-privacy photo: Face recognition and filtering
A Almansour, G Alsaeedi, H Almazroui… - Proceedings of the 2020 …, 2020 - dl.acm.org
The ever-increasing popularity of Online Social Networks (OSNs) sites for posting and
sharing photos and videos has led to unprecedented concerns on privacy violation. The …
sharing photos and videos has led to unprecedented concerns on privacy violation. The …
An efficient two-dimensional layout compaction algorithm
H Shin, CY Lo - Proceedings of the 26th ACM/IEEE Design Automation …, 1989 - dl.acm.org
A new heuristic two-dimensional symbolic layout-compaction approach is developed. After
conventional one-dimensional compaction steps, all the components on the critical paths …
conventional one-dimensional compaction steps, all the components on the critical paths …