Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
Rong WangFeiping NieRichang HongXiaojun ChangXiaojun YangWeizhong YuPublished in: IEEE Trans. Image Process. (2017)
Keyphrases
- locality preserving projections
- dimensionality reduction
- locality preserving
- subspace learning
- principal component analysis
- high dimensional data
- high dimensional
- low dimensional
- manifold learning
- pattern recognition
- linear discriminant analysis
- high dimensionality
- random projections
- feature space
- feature extraction
- euclidean distance
- feature selection
- locally linear embedding
- unsupervised learning
- data points
- dimensionality reduction methods
- singular value decomposition
- data representation
- lower dimensional
- principal components
- dimension reduction
- principal components analysis