Patch Alignment for Dimensionality Reduction.
Tianhao ZhangDacheng TaoXuelong LiJie YangPublished in: IEEE Trans. Knowl. Data Eng. (2009)
Keyphrases
- dimensionality reduction
- high dimensional
- principal component analysis
- feature extraction
- input space
- high dimensional data
- data representation
- structure preserving
- high dimensionality
- pattern recognition
- data points
- image patches
- pattern recognition and machine learning
- manifold learning
- linear dimensionality reduction
- dimensionality reduction methods
- low dimensional
- linear discriminant analysis
- euclidean distance
- linear projection
- random projections
- image alignment
- kernel learning
- feature selection
- image processing
- multiple sequence alignment
- locally linear embedding
- dynamic time warping
- singular value decomposition
- feature space
- sequence alignment
- nonlinear dimensionality reduction
- ontology matching
- graph embedding
- word alignment
- regular grid
- principal components
- feature vectors
- supervised dimensionality reduction
- semi supervised dimensionality reduction
- procrustes analysis