Signed Laplacian Embedding for Supervised Dimension Reduction.
Chen GongDacheng TaoJie YangKeren FuPublished in: AAAI (2014)
Keyphrases
- dimension reduction
- manifold embedding
- unsupervised learning
- feature selection
- low dimensional
- principal component analysis
- high dimensional
- feature extraction
- high dimensional problems
- manifold learning
- discriminative information
- sparse coding
- singular value decomposition
- graph embedding
- semi supervised
- linear discriminant analysis
- feature space
- supervised learning
- dimensionality reduction
- random projections
- cluster analysis
- high dimensionality
- high dimensional data analysis
- high dimensional data
- learning algorithm
- vector space
- dimension reduction methods
- embedding space
- data sets
- reinforcement learning
- geodesic distance
- image segmentation
- image processing
- pattern recognition
- locality preserving projections
- pairwise
- machine learning
- data mining
- qr decomposition
- feature vectors
- model selection