Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction.
Minghua WanChengxu YanTianming ZhanHai TanGuowei YangPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- low rank
- discriminant embedding
- rank minimization
- semi supervised
- low rank matrix
- feature extraction
- matrix factorization
- convex optimization
- manifold learning
- linear combination
- kernel matrix
- singular value decomposition
- graph embedding
- missing data
- high dimensional data
- face recognition
- feature selection
- pattern classification
- high order
- supervised learning
- unsupervised learning
- labeled data
- dimension reduction
- image processing
- feature vectors
- dimensionality reduction
- pattern recognition
- data sets
- image classification
- singular values
- manifold structure
- principal component analysis
- computer vision
- learning algorithm
- machine learning