Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Learning imbalanced datasets based on SMOTE and Gaussian distribution
T Pan, J Zhao, W Wu, J Yang - Information Sciences, 2020 - Elsevier
The learning of imbalanced datasets is a ubiquitous challenge for researchers in the fields of
data mining and machine learning. Conventional classifiers are often biased towards the …
data mining and machine learning. Conventional classifiers are often biased towards the …
Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy
With the recent development and application of human–computer interaction systems, facial
expression recognition (FER) has become a popular research area. The recognition of facial …
expression recognition (FER) has become a popular research area. The recognition of facial …
Detection of ventricular fibrillation rhythm by using boosted support vector machine with an optimal variable combination
In this paper, the ventricular fibrillation (VF) rhythm is detected by using a new approach
involving the support vector machine (SVM), adaptive boosting (AdaBoost) and differential …
involving the support vector machine (SVM), adaptive boosting (AdaBoost) and differential …
Artificial intelligence based smart facial expression recognition remote control system
RS Ganesh, KJ Jausmin, J Srilatha… - 2021 5th …, 2021 - ieeexplore.ieee.org
In this digital era, face based acknowledgment plays an indispensable role in almost all the
real-time applications. This paper presents an outward appearance based innovation, which …
real-time applications. This paper presents an outward appearance based innovation, which …
Hybrid modeling and predictive control of intelligent vehicle longitudinal velocity considering nonlinear tire dynamics
X Sun, H Zhang, Y Cai, S Wang, L Chen - Nonlinear Dynamics, 2019 - Springer
A hybrid model predictive control (HMPC) strategy is proposed in this paper to
autonomously regulate intelligent vehicle longitudinal velocity considering nonlinear tire …
autonomously regulate intelligent vehicle longitudinal velocity considering nonlinear tire …
K-nearest neighbor-based weighted twin support vector regression
Y Xu, L Wang - Applied intelligence, 2014 - Springer
Twin support vector regression (TSVR) finds ϵ-insensitive up-and down-bound functions by
resolving a pair of smaller-sized quadratic programming problems (QPPs) rather than a …
resolving a pair of smaller-sized quadratic programming problems (QPPs) rather than a …
[HTML][HTML] Robust scene text recognition: using manifold regularized twin-support vector machine
LM Francis, N Sreenath - Journal of King Saud University-Computer and …, 2022 - Elsevier
Text recognition in natural scene images endures as a challenging problem, attributable to a
highly variable appearance in an unconstrained environment. The proposed work is novel of …
highly variable appearance in an unconstrained environment. The proposed work is novel of …
Exemplar-based facial expression recognition
N Farajzadeh, M Hashemzadeh - Information Sciences, 2018 - Elsevier
Facial expressions exhibit very important and judgmental information regarding our
emotions and feelings. They show our true intentions to audiences and help them to …
emotions and feelings. They show our true intentions to audiences and help them to …
KNN-based least squares twin support vector machine for pattern classification
The least squares twin support vector machine (LSTSVM) generates two non-parallel
hyperplanes by directly solving a pair of linear equations as opposed to solving two …
hyperplanes by directly solving a pair of linear equations as opposed to solving two …