Graph-based semisupervised and manifold learning for image retrieval with SVM-based relevant feedback.
Quynh Nguyen HuuDung Cu VietQuynh Dao Thi ThuyTao Ngo QuocCanh Phuong VanPublished in: J. Intell. Fuzzy Syst. (2019)
Keyphrases
- manifold learning
- semi supervised
- relevance feedback
- image retrieval
- active learning
- semi supervised learning
- diffusion maps
- nonlinear dimensionality reduction
- label propagation
- pairwise
- unlabeled data
- labeled data
- supervised learning
- subspace learning
- laplacian eigenmaps
- manifold learning algorithm
- svm classifier
- low dimensional
- manifold structure
- head pose estimation
- feature space
- unsupervised learning
- support vector
- locality preserving
- high dimensional data
- locally linear embedding
- machine learning
- support vector machine
- training set
- sparse representation
- support vector machine svm
- image representation
- riemannian manifolds
- dimensionality reduction
- latent space
- feature vectors
- graph construction
- high dimensional
- face recognition
- decision trees
- feature selection
- data sets