Manifold-preserving graph reduction for sparse semi-supervised learning.
Shiliang SunZakria HussainJohn Shawe-TaylorPublished in: Neurocomputing (2014)
Keyphrases
- semi supervised learning
- graph laplacian
- manifold regularization
- graph construction
- semi supervised classification
- graph based semi supervised learning
- manifold structure
- label propagation
- semi supervised
- neighborhood graph
- labeled data
- unlabeled data
- supervised learning
- unsupervised learning
- manifold learning
- machine learning
- partially labeled
- active learning
- high dimensional
- labeled and unlabeled data
- domain adaptation
- random walk
- training data
- sparse coding
- sparse representation
- semi supervised learning methods
- learning models
- data points
- weighted graph
- euclidean space
- image set
- transfer learning
- model selection
- knn
- pairwise