Joint multilabel classification and feature selection based on deep canonical correlation analysis.
Liang DaiGuodong DuJia ZhangCandong LiRong WeiShaozi LiPublished in: Concurr. Comput. Pract. Exp. (2020)
Keyphrases
- canonical correlation analysis
- multilabel classification
- feature selection
- text categorization
- multi label
- instance based learning
- least squares
- partial least squares
- instance selection
- ensemble methods
- lazy learning
- text classification
- mutual information
- logistic regression
- nearest neighbor
- dimension reduction
- machine learning
- feature set
- multi class
- feature subset
- feature extraction
- high dimensionality
- inductive learning
- support vector machine
- support vector
- knn
- classification accuracy
- data sets
- model selection
- image segmentation
- dimensionality reduction methods
- rule induction
- binary classification
- semi supervised
- graph cuts
- k nearest neighbor