Discriminative Semi-supervised Learning in Manifold Subspace for Face Recognition.
Tue-Minh Dinh VoHung Phuoc TruongThai Hoang LePublished in: ICCASA (2015)
Keyphrases
- semi supervised learning
- linear subspace
- face recognition
- semi supervised
- discriminative information
- subspace learning
- discriminative models
- manifold regularization
- manifold learning
- low dimensional
- unsupervised learning
- unlabeled data
- manifold structure
- labeled data
- principal component analysis
- feature extraction
- semi supervised classification
- active learning
- image set
- lower dimensional
- machine learning
- face images
- supervised learning
- label propagation
- graph based semi supervised learning
- semi supervised learning algorithms
- labeled and unlabeled data
- facial expressions
- latent space
- high dimensional
- pairwise
- linear discriminant analysis
- metric learning
- domain adaptation
- sparse representation
- dimensionality reduction
- pattern recognition
- co training
- feature selection
- data mining
- learning algorithm
- graph laplacian
- graph construction
- image classification
- class labels