Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification.
Chia-Wen KuoChih-Yao MaJia-Bin HuangZsolt KiraPublished in: CoRR (2019)
Keyphrases
- image classification
- semi supervised
- graph embedding
- semi supervised classification
- manifold learning
- manifold regularization
- graph construction
- label propagation
- semi supervised learning
- neighborhood graph
- graph laplacian
- image representation
- supervised learning
- bag of words
- feature extraction
- unsupervised learning
- labeled data
- image features
- sparse coding
- multi label
- kernel machines
- class specific
- manifold structure
- random walk
- semi supervised clustering
- active learning
- graph theory
- weighted graph
- structured data
- graph model
- co training
- directed graph
- label information
- subspace learning
- graph representation
- graph structure
- low rank
- bipartite graph
- pairwise
- multiscale
- object recognition
- training set
- machine learning
- geometric structure
- low dimensional
- visual words
- multi view
- sparse representation
- unlabeled data