Locality preserving triplet discriminative projections for dimensionality reduction.
Tingting SuDazheng FengHao-Shuang HuMeng WangMohan ChenPublished in: Neurocomputing (2023)
Keyphrases
- locality preserving
- dimensionality reduction
- locality preserving projections
- manifold learning
- kernel trick
- high dimensional
- data representation
- dimensionality reduction methods
- low dimensional
- high dimensional data
- high dimensionality
- feature selection
- unsupervised learning
- principal component analysis
- pattern recognition
- manifold structure
- feature extraction
- embedding space
- random projections
- linear discriminant analysis
- subspace learning
- singular value decomposition
- input space
- lower dimensional
- principal components
- nonlinear dimensionality reduction
- euclidean distance
- feature space
- metric learning
- latent space
- sparse representation
- principal components analysis
- data points
- locality sensitive hashing