Shared subspace least squares multi-label linear discriminant analysis.
Hongbin YuTao ZhangWenjing JiaPublished in: Appl. Intell. (2020)
Keyphrases
- multi label
- linear discriminant analysis
- least squares
- principal component analysis
- dimensionality reduction
- null space
- subspace methods
- high dimensional data
- multi label classification
- discriminant analysis
- feature extraction
- image classification
- feature space
- text categorization
- qr decomposition
- face recognition
- graph cuts
- scatter matrices
- image annotation
- binary classification
- low dimensional
- singular value decomposition
- dimension reduction
- scatter matrix
- text classification
- subspace learning
- high dimensional
- lower dimensional
- support vector
- nearest neighbor
- support vector machine svm
- class labels
- feature selection
- high dimensionality
- knn
- principal components
- higher order
- unsupervised learning
- feature vectors
- classification algorithm
- ls svm
- image processing