Low-rank embedded orthogonal subspace learning for zero-shot classification.
Xiao LiMin FangJichuan LiuPublished in: J. Vis. Commun. Image Represent. (2021)
Keyphrases
- low rank
- subspace learning
- low rank approximation
- high dimensional data
- dimensionality reduction
- linear combination
- semi supervised
- matrix factorization
- convex optimization
- missing data
- feature extraction
- singular value decomposition
- principal component analysis
- kernel matrix
- pattern recognition
- model selection
- unsupervised learning
- high dimensionality
- text classification
- face recognition
- feature selection
- supervised learning
- dimension reduction
- neural network
- robust face recognition
- learning algorithm
- data analysis
- manifold learning
- small number
- high dimensional
- decision trees
- data representation
- sparse representation
- image classification
- background modeling
- low dimensional
- data sets