Local Regularized Least-Square Dimensionality Reduction.
Yangqing JiaChangshui ZhangPublished in: ICPR (2008)
Keyphrases
- least squares
- dimensionality reduction
- supervised dimensionality reduction
- high dimensional data
- principal component analysis
- feature extraction
- high dimensionality
- high dimensional
- low dimensional
- pattern recognition and machine learning
- manifold learning
- feature selection
- singular value decomposition
- principal components
- linear discriminant analysis
- data representation
- data points
- feature space
- random projections
- lower dimensional
- structure preserving
- dimensionality reduction methods
- sparse linear
- optical flow
- pattern recognition
- linear projection
- linear dimensionality reduction
- nonlinear dimensionality reduction
- euclidean distance
- semi supervised dimensionality reduction
- dimension reduction
- multidimensional scaling
- kernel learning
- input space
- cross validation
- model selection
- kernel pca
- intrinsic dimensionality
- kernel discriminant analysis
- data sets
- discriminant analysis
- machine learning