An Overview of Label Space Dimension Reduction for Multi-Label Classification.
Lin TangLin LiuJianhou GanPublished in: ICIIP (2017)
Keyphrases
- dimension reduction
- label space
- multi label classification
- multi label
- principal component analysis
- feature extraction
- high dimensional
- semi supervised learning
- feature space
- image annotation
- low dimensional
- feature selection
- text categorization
- classification algorithm
- high dimensionality
- high dimensional data
- semi supervised
- multiple labels
- binary classification
- unsupervised learning
- linear discriminant analysis
- image classification
- multi class
- cluster analysis
- binary classifiers
- feature subspace
- markov random field
- meta level
- learning tasks
- markov networks
- learning problems
- class labels
- support vector machine svm
- dimensionality reduction