Low-rank approximation-based bidirectional linear discriminant analysis for image data.
Xiuhong ChenTong ChenPublished in: Multim. Tools Appl. (2024)
Keyphrases
- linear discriminant analysis
- low rank approximation
- image data
- dimensionality reduction
- singular value decomposition
- subspace learning
- principal component analysis
- face recognition
- high dimensional data
- low rank
- feature extraction
- iterative algorithms
- dimension reduction
- kernel matrix
- spectral clustering
- feature space
- latent semantic indexing
- support vector machine svm
- nonnegative matrix factorization
- pattern recognition
- high dimensional
- data dependent
- support vector
- low dimensional
- data points
- principal components
- manifold learning
- matrix completion
- linear combination
- input space
- data sets
- input data
- active learning
- data analysis
- feature selection
- data mining
- neural network