Dimensionality Reduction Using Discriminant Collaborative Locality Preserving Projections.
Guoqiang WangLei GongYajun PangNianfeng ShiPublished in: Neural Process. Lett. (2020)
Keyphrases
- locality preserving projections
- dimensionality reduction
- locality preserving
- principal component analysis
- linear discriminant analysis
- high dimensional
- manifold learning
- pattern recognition
- high dimensional data
- subspace learning
- feature space
- feature extraction
- high dimensionality
- unsupervised learning
- data points
- locally linear embedding
- data representation
- low dimensional
- face recognition
- feature selection
- euclidean distance
- dimensionality reduction methods
- dimension reduction
- principal components
- principal components analysis
- random projections
- discriminant analysis
- computer vision
- sparse representation
- data sets
- image processing
- feature vectors
- graph embedding
- machine learning
- neural network