Tensor dispersion-based multi-view feature embedding for dimension reduction.
Laihang YuPing LiuLin JiangZhanyong ZhaoPublished in: J. Electronic Imaging (2021)
Keyphrases
- multi view
- dimension reduction
- manifold embedding
- single view
- dimensionality reduction
- principal component analysis
- feature extraction
- multiple views
- low dimensional
- three dimensional
- depth map
- high dimensional
- singular value decomposition
- manifold learning
- high dimensional data
- unsupervised learning
- feature selection
- cluster analysis
- feature space
- semi supervised
- d objects
- feature vectors
- vector space
- high dimensionality
- discriminative information
- linear discriminant analysis
- multi view learning
- training data
- text mining
- nearest neighbor
- active learning
- viewpoint