Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency.
Yuanyuan XuJun WangShuai AnJinmao WeiJianhua RuanPublished in: CIKM (2018)
Keyphrases
- multi label
- label space
- multi label classification
- text categorization
- semi supervised
- feature selection
- text classification
- semi supervised learning
- feature set
- unlabeled data
- discriminative features
- feature subset
- image classification
- class labels
- image annotation
- graph cuts
- labeled data
- multiple labels
- binary classification
- co training
- max margin
- learning tasks
- feature space
- multi class
- unsupervised learning
- machine learning
- image features
- classification accuracy
- active learning
- feature vectors
- graph structure
- supervised learning
- markov networks
- feature extraction
- image processing
- computer vision
- data sets
- naive bayes
- model selection
- maximum likelihood
- dimensionality reduction