Random Manifold Sampling and Joint Sparse Regularization for Multi-Label Feature Selection.
Haibao LiHongzhi ZhaiPublished in: Big Data Res. (2023)
Keyphrases
- multi label
- text categorization
- feature selection
- text classification
- multi label classification
- high dimensional
- feature selections
- multi label learning
- image annotation
- image classification
- feature space
- binary classification
- graph cuts
- learning tasks
- naive bayes
- class labels
- hierarchical text categorization
- multi class
- knn
- sparse representation
- feature extraction
- machine learning
- sample size
- support vector
- k nearest neighbor
- feature set
- dimensionality reduction
- principal component analysis
- image processing
- max margin
- classification accuracy
- labeled data
- object recognition
- feature subset
- multi task
- nearest neighbor
- support vector machine
- image retrieval