Support Vector Machine and Neural Network Algorithm Approach to Classifying Facial Expression Recognition
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- Type
- article
- Published
- 2020-11-03
- Cited by
- 2
- References
- 22
- OpenAlex
- https://openalex.org/W3115283218
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:229704141
Keywords
Support vector machine, Computer science, Artificial intelligence, Artificial neural network, Surprise
References
- Edge based mean LBP for valence facial expression detection
- Face recognition using Eigenfaces
- An advanced ACO algorithm for feature subset selection
- Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition
- Choice of neighbor order in nearest-neighbor classification
- Emotion recognition using PHOG and LPQ features
- Automatic Analysis of Facial Expressions: The State of the Art
- Facial expression recognition using distance and texture signature relevant features
- Facial expression recognition with local prominent directional pattern
- Emotion recognition from geometric fuzzy membership functions
- Facial Expression Classification Based on SVM, KNN and MLP Classifiers
- Feature selection for facial emotion recognition using late hill-climbing based memetic algorithm
- Facial Expression Recognition Using Disentangled Adversarial Learning
- Facial Expression Identification System Using fisher linear discriminant analysis and K- Nearest Neighbor Methods.
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