A joint-norm distance metric 2DPCA for robust dimensionality reduction.
Huanxing ZhangHongxu BiXiaofeng WangPeng ZhangPublished in: Inf. Sci. (2023)
Keyphrases
- distance metric
- dimensionality reduction
- euclidean distance
- metric learning
- data points
- distance metric learning
- principal component analysis
- high dimensional data
- high dimensional
- principal components
- distance measure
- low dimensional
- distance function
- feature space
- manifold learning
- computer vision
- recognition rate
- linear transformation
- feature extraction
- input space
- kernel learning
- feature selection
- nearest neighbor
- singular value decomposition
- pattern recognition
- preprocessing step
- dimensionality reduction methods
- semidefinite program
- euclidean space
- face recognition
- machine learning
- multi task
- principal components analysis
- labeled data
- nonlinear dimensionality reduction
- data sets