Semi-supervised sparse feature selection based on multi-view Laplacian regularization.
Caijuan ShiQiuqi RuanGaoyun AnChao GePublished in: Image Vis. Comput. (2015)
Keyphrases
- multi view
- semi supervised
- feature selection
- multi view learning
- sparse coding
- unsupervised learning
- manifold regularization
- multiple views
- single view
- semi supervised learning
- co training
- text categorization
- depth map
- labeled data
- three dimensional
- unlabeled data
- pairwise
- d objects
- sparse representation
- supervised learning
- machine learning
- dimensionality reduction
- support vector
- multi view stereo
- active learning
- view synthesis
- semi supervised classification
- multiple viewpoints
- multi view semi supervised learning
- natural images
- high dimensional
- metric learning
- range images
- high dimensionality
- label information
- text classification
- multi view images
- multi view reconstruction
- multi view clustering
- surface reconstruction
- unlabeled samples
- model selection
- pairwise constraints
- semi supervised learning algorithms
- feature set
- multi view face detection