Facial expression recognition using dynamic local ternary patterns with kernel extreme learning machine classifier
Rapid growth in advanced human-computer interaction (HCI) based applications has led to
the immense popularity of facial expression recognition (FER) research among computer …
the immense popularity of facial expression recognition (FER) research among computer …
Fusion of machine learning and privacy preserving for secure facial expression recognition
The interest in Facial Expression Recognition (FER) is increasing day by day due to its
practical and potential applications, such as human physiological interaction diagnosis and …
practical and potential applications, such as human physiological interaction diagnosis and …
Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition In‐the‐Wild
A Ullah, J Wang, MS Anwar, TK Whangbo… - Journal of …, 2021 - Wiley Online Library
The interest in the facial expression recognition (FER) is increasing day by day due to its
practical and potential applications, such as human physiological interaction diagnosis and …
practical and potential applications, such as human physiological interaction diagnosis and …
One for All: A Unified Generative Framework for Image Emotion Classification
Image Emotion Classification (IEC) is an essential research area, offering valuable insights
into user emotional states for a wide range of applications, including opinion mining …
into user emotional states for a wide range of applications, including opinion mining …
Data Science Meets Intelligent Internet of Things
I Ullah, I Ahamd, MS Anwar, Y Tao… - … Systems Using Artificial …, 2024 - taylorfrancis.com
This chapter investigates the revolutionary convergence of data science with the Internet of
Things (IoT). It demonstrates how data science approaches like advanced analytics …
Things (IoT). It demonstrates how data science approaches like advanced analytics …
Deep Facial Expression Recognition of facial variations using fusion of feature extraction with classification in end to end model
Expression recognition is an important direction for computers to understand human
emotions and an important aspect of human-computer interaction. Expression recognition …
emotions and an important aspect of human-computer interaction. Expression recognition …
A facial expression recognition method using local nonlinear features
P Wei, BO Wang, MA Almalki, X Dai, X Zhang - Fractals, 2022 - World Scientific
The purposes are to recognize the facial expression information and establish a fast and
accurate facial expression recognition algorithm. First, the noise caused by face image …
accurate facial expression recognition algorithm. First, the noise caused by face image …
[PDF][PDF] PhotoRestorer: Restoration of Old or Damaged Portraits with Deep Learning.
C Mendoza-Dávila, D Porta-Montes, W Ugarte - WEBIST, 2023 - scitepress.org
Several studies have proposed different image restoration techniques, however most of
them focus on restoring a single type of damage or, if they restore different types of damage …
them focus on restoring a single type of damage or, if they restore different types of damage …
A Survey of Machine Learning and Cryptography Algorithms
M Indira, KS Mohanasundaram… - … Learning Applications for …, 2024 - igi-global.com
The intersection of machine learning and encryption has emerged as a key area in
technology. A model shift in technology and data security has brought the combination of …
technology. A model shift in technology and data security has brought the combination of …
Emotion Detection Based on De-expression Residue Learning and Its Intelligent System Design
JH Li, CG Wen, JX Zhang, YJ Gan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Due to the difference of individual facial expression, it will have a significant impact on the
detection of the emotion. Therefore, in order to mitigate this impact, and to solve the …
detection of the emotion. Therefore, in order to mitigate this impact, and to solve the …