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Accurate computing of facial expression recognition using a hybrid feature extraction technique

https://doi.org/10.1007/s11227-020-03468-8
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Intelligent monitor system based on cloud and convolutional neural networks
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A camera-based attention level assessment tool designed for classroom usage
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A proposed method for the improvement in biometric facial image recognition using document-based classification
inferredcites →https://doi.org/10.1007/s11227-018-2554-8openalex-snapshot
Facial expression recognition using iterative fusion of MO-HOG and deep features
inferredcites →https://doi.org/10.1016/j.eswa.2017.07.037openalex-snapshot
Multi-Objective Differential Evolution for feature selection in Facial Expression Recognition systems
inferredcites →https://doi.org/10.1016/j.jvcir.2017.02.007openalex-snapshot
Facial expression recognition using dual dictionary learning
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Facial expression recognition via learning deep sparse autoencoders
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Extension of cascaded simple feature based face detection to facial expression recognition
inferredcites →https://doi.org/10.1016/j.procs.2015.08.011openalex-snapshot
Facial Expression Recognition: A Survey
inferredcites →https://doi.org/10.1049/el.2016.4328openalex-snapshot
Facial expression recognition with FRR‐CNN
inferredcites →https://doi.org/10.1049/el.2017.0420openalex-snapshot
Improved facial expression recognition using graph signal processing
inferredcites →https://doi.org/10.1049/el.2017.0731openalex-snapshot
Modified classification and regression tree for facial expression recognition with using difference expression images
inferredcites →https://doi.org/10.1049/iet-ipr.2015.0302openalex-snapshot
Facial expression recognition via sparse representation using positive and reverse templates
inferredcites →https://doi.org/10.1109/access.2017.2737821openalex-snapshot
Facial Expression Recognition From Image Sequence Based on LBP and Taylor Expansion
inferredcites →https://doi.org/10.1109/access.2017.2784096openalex-snapshot
Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images
inferredcites →https://doi.org/10.1109/access.2019.2917266openalex-snapshot
Local Learning With Deep and Handcrafted Features for Facial Expression Recognition
inferredcites →https://doi.org/10.1109/afgr.1998.670949openalex-snapshot
Coding facial expressions with Gabor wavelets
inferredcites →https://doi.org/10.1109/ascc.2017.8287318openalex-snapshot
Nesterov accelerated gradient descent-based convolution neural network with dropout for facial expression recognition
inferredcites →https://doi.org/10.1109/calcon.2017.8280685openalex-snapshot
Texture signature based facial expression recognition using NARX
inferredcites →https://doi.org/10.1109/ccaa.2017.8229990openalex-snapshot
An improved method for facial expression recognition using hybrid approach of CLBP and Gabor filter
inferredcites →https://doi.org/10.1109/ccdc.2017.7978869openalex-snapshot
Recognition of facial expression based on CNN-CBP features
inferredcites →https://doi.org/10.1109/cec.2017.7969500openalex-snapshot
Facial expression recongition using firefly-based feature optimization
inferredcites →https://doi.org/10.1109/csci.2016.0161openalex-snapshot
Facial Expression Recognition Based on Fuzzy Networks
inferredcites →https://doi.org/10.1109/icassp.2017.7952474openalex-snapshot
Exemplar-embed complex matrix factorization for facial expression recognition
inferredcites →https://doi.org/10.1109/iccmc.2017.8282636openalex-snapshot
A systematic survey of facial expression recognition techniques
inferredcites →https://doi.org/10.1109/iccubea.2016.7860053openalex-snapshot
Efficient face and facial expression recognition model
inferredcites →https://doi.org/10.1109/iccvw.2011.6130446openalex-snapshot
Facial expression recognition with temporal modeling of shapes
inferredcites →https://doi.org/10.1109/icip.2017.8296398openalex-snapshot
Deep dictionary learning for fine-grained image classification
inferredcites →https://doi.org/10.1109/iciteed.2017.8250446openalex-snapshot
Facial expression recognition using local Gabor filters and PCA plus LDA
inferredcites →https://doi.org/10.1109/icmlc.2003.1259959openalex-snapshot
IEEE 2003 International Conference on Machine Learning and Cybernetics
inferredcites →https://doi.org/10.1109/icomicon.2017.8279123openalex-snapshot
Facial expression recognition using Gabor filter and multi-layer artificial neural network
inferredcites →https://doi.org/10.1109/icrcicn.2017.8234502openalex-snapshot
Facial expression recognition using shape signature feature
inferredcites →https://doi.org/10.1109/iemcon.2017.8117150openalex-snapshot
Real time automated facial expression recognition app development on smart phones
inferredcites →https://doi.org/10.1109/iscbi.2017.8053537openalex-snapshot
GLCM and its application in pattern recognition
inferredcites →https://doi.org/10.1109/netact.2017.8076732openalex-snapshot
Facial expression recognition and emotion classification system for sentiment analysis
inferredcites →https://doi.org/10.1109/sera.2017.7965717openalex-snapshot
Automatic facial expression recognition based on a deep convolutional-neural-network structure
inferredcites →https://doi.org/10.1109/taffc.2014.2346515openalex-snapshot
Intra-Class Variation Reduction Using Training Expression Images for Sparse Representation Based Facial Expression Recognition
inferredcites →https://doi.org/10.1109/tip.2006.875178openalex-snapshot
Image analysis using a dual-tree M-band wavelet transform
inferredcites →https://doi.org/10.1109/tip.2017.2689999openalex-snapshot
Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks
inferredcites →https://doi.org/10.1109/tip.2017.2726010openalex-snapshot
Local Directional Ternary Pattern for Facial Expression Recognition
inferredcites →https://doi.org/10.1109/tmm.2016.2523421openalex-snapshot
Learning Personalized Models for Facial Expression Analysis and Gesture Recognition
inferredcites →https://doi.org/10.1109/tmm.2016.2598092openalex-snapshot
A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition
inferredcites →https://doi.org/10.1109/tmm.2016.2629282openalex-snapshot
Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition
inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot
Textural Features for Image Classification
inferredcites →https://doi.org/10.1109/tsp.2004.826174openalex-snapshot
The Double-Density Dual-Tree DWT
inferredcites →https://doi.org/10.1145/3269206.3271721openalex-snapshot
Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data
inferredcites →https://doi.org/10.18280/ts.360611openalex-snapshot
A Micro-expression Recognition Algorithm for Students in Classroom Learning Based on Convolutional Neural Network
inferredcites →https://doi.org/10.29284/ijasis.3.1.2017.13-18openalex-snapshot
WAVELETS FOR SPEAKER RECOGNITION USING GMM CLASSIFIER
inferredcites →https://doi.org/10.3390/sym11101189openalex-snapshot
Facial Expression Recognition: A Survey
inferredcites →https://doi.org/10.5121/ijcnc.2015.7508openalex-snapshot
A Survey of Multimedia Streaming in Wireless Sensor Networks: Progress, Issues and Design Challenges
inferredcites →https://doi.org/10.7763/ijcce.2012.v1.33openalex-snapshot
Facial Expression Recognition Based on Image Feature

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Advanced Deep Convolution Based Jellyfish VGG ‐19 Model for Face Emotion Recognition
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Facial Expression Recognition Based on Multi-feature Fusion
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Advances in facial expression recognition technologies for emotion analysis
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Learning inter-class optical flow difference using generative adversarial networks for facial expression recognition
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Understanding human emotions through speech spectrograms using deep neural network
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Customizing blendshapes to capture facial details
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DBT: multimodal emotion recognition based on dual-branch transformer
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Enhancing CNN model performance for facial expression recognition through PCA and GLCM techniques
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GLCM-based Texture Features and Artificial Neural Network (ANN) for Accurate Detection of Melanoma and Basal Cell Carcinoma
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Study of Feature Extraction Algorithms on Photoplethysmography (PPG) Signals to Detect Coronary Heart Disease
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Atrial Fibrillation Feature Extraction Algorithm on Multi Channel ECG Signals Using ECG Dynamic Features
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Prediction of Myocardial Infarction Using Convolutional Neural Network Method on Electrocardiogram Signal
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Myocardial Infarction Detection Using Hybrid Deep Learning on Phonocardiogram Data
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A Study of Feature Extraction Algorithms for ST-Elevation, R/S Amplitude, and T-Wave Inversion in Detecting Myocardial Infarction on Electrocardiogram Signals
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Comparative Performance Evaluation of SVM, KNN, and Decision Tree Algorithms in Facial Recognition Tasks Using PCA
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Study of the Ensemble Deep Learning Algorithm to Detect Image-Based Skin Cancer Melanoma and Basal Cell Carcinoma
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Efficient Myocardial Infarction Detection Using Hybrid CNN-BiLSTM with Depthwise Separable Convolution on ECG Signals
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Facial Expression Recognition Based on the Combination of Landmarks and Texture Features
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A Comprehensive Review on Deep Learning Based Facial Emotion Recognition System
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An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG)
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Hybrid Deep Autoencoder and AdaBoost for Robust Facial Expression Recognition
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Comprehensive Review and Analysis on Facial Emotion Recognition: Performance Insights into Deep and Traditional Learning with Current Updates and Challenges
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Facial Expression Recognition: Machine Learning Algorithms and Feature Extraction Techniques
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