Functional Locality Preserving Projection for Dimensionality Reduction.
Xin SongXinwei JiangJunbin GaoZhihua CaiXia HongPublished in: IJCNN (2018)
Keyphrases
- dimensionality reduction
- locality preserving projections
- locality preserving
- principal component analysis
- neighborhood preserving embedding
- pattern recognition
- high dimensional
- subspace learning
- linear discriminant analysis
- manifold learning
- high dimensional data
- low dimensional
- feature selection
- locally linear embedding
- feature space
- dimensionality reduction methods
- unsupervised learning
- euclidean distance
- data representation
- feature extraction
- high dimensionality
- random projections
- principal components
- data points
- face recognition
- singular value decomposition
- metric learning
- lower dimensional
- sparse representation
- discriminant analysis
- principal components analysis
- image processing
- computer vision
- support vector machine
- subspace methods
- covariance matrix
- manifold structure
- mean shift