Multi-view Sparsity Preserving Projection for dimension reduction.
Huibing WangLin FengLaihang YuJing ZhangPublished in: Neurocomputing (2016)
Keyphrases
- multi view
- dimension reduction
- high dimensional
- single view
- low dimensional
- principal component analysis
- feature extraction
- depth map
- high dimensional data
- multiple views
- d objects
- high dimensionality
- manifold learning
- sparse representation
- three dimensional
- linear discriminant analysis
- feature selection
- feature space
- dimensionality reduction
- semi supervised
- singular value decomposition
- unsupervised learning
- cluster analysis
- discriminative information
- data sets
- multi view learning
- support vector machine
- pairwise
- pattern recognition