Integration of Manifold Learning and Density Estimation for Fine-Tuned Face Recognition.
Huilin GeZhiyu ZhuJiali OuyangMuhammad Awais AshrafZhiwen QiuUmar Muhammad IbrahimPublished in: Symmetry (2024)
Keyphrases
- density estimation
- manifold learning
- fine tuned
- face recognition
- subspace learning
- discriminant embedding
- sparse representation
- low dimensional
- probability density function
- fine tuning
- dimensionality reduction
- feature extraction
- dimension reduction
- high dimensional
- semi supervised
- probability density
- density function
- mixture model
- domain specific
- linear discriminant analysis
- generative topographic mapping
- outlier detection
- gaussian mixture model
- high dimensional data
- principal component analysis
- expectation maximization
- face images
- gaussian mixture
- data sets
- semi supervised learning
- em algorithm
- active learning
- linear subspace
- feature space
- density estimates
- video sequences
- computer vision
- machine learning