Nonlinear Manifold Feature Extraction Based on Spectral Supervised Canonical Correlation Analysis for Facial Expression Recognition with RRNN.
Asad UllahJing WangMuhammad Shahid AnwarUsman AhmadJin WangUzair SaeedPublished in: CISP-BMEI (2018)
Keyphrases
- multi class
- facial expression recognition
- canonical correlation analysis
- feature extraction
- feature selection
- dimension reduction
- partial least squares
- manifold learning
- dimensionality reduction methods
- dimensionality reduction
- facial expressions
- support vector machine
- discriminant analysis
- least squares
- human computer interaction
- face recognition
- semi supervised
- local binary pattern
- unsupervised learning
- feature vectors
- preprocessing
- supervised learning
- image classification
- feature space
- principal component analysis
- preprocessing step
- low dimensional
- image processing
- learning algorithm
- machine learning
- pattern recognition
- feature set
- face images
- data sets
- high dimensionality
- facial features
- human faces
- high dimensional data
- co occurrence
- video sequences