Multi-Label Learning via Feature and Label Space Dimension Reduction.
Jun HuangPingzhao ZhangHuiyi ZhangGuorong LiHaowei RuiPublished in: IEEE Access (2020)
Keyphrases
- dimension reduction
- multi label
- feature extraction
- high dimensional
- principal component analysis
- high dimensional data
- feature space
- low dimensional
- feature selection
- singular value decomposition
- cluster analysis
- linear discriminant analysis
- feature vectors
- multiple labels
- multi label classification
- high dimensionality
- dimensionality reduction
- pairwise
- data analysis
- graph cuts
- text categorization
- image classification
- feature set
- least squares
- image features
- data points
- computer vision