Latent Discriminative Low-Rank Projection for Visual Dimension Reduction in Green Internet of Things.
Tan GuoKeping YuGautam SrivastavaWei WeiLei GuoNeal N. XiongPublished in: IEEE Trans. Green Commun. Netw. (2021)
Keyphrases
- dimension reduction
- low rank
- singular value decomposition
- high dimensional data
- discriminative information
- semi supervised
- null space
- latent space
- low dimensional
- feature extraction
- dimensionality reduction
- matrix completion
- principal component analysis
- singular values
- unsupervised learning
- convex optimization
- linear combination
- missing data
- manifold learning
- rank minimization
- high dimensional
- matrix factorization
- linear discriminant analysis
- random projections
- high dimensionality
- feature selection
- regularized regression
- least squares
- nearest neighbor
- feature space
- manifold structure
- data sets
- latent variables
- cluster analysis
- data points
- data analysis
- image segmentation
- image processing
- neural network