Incremental Shared Subspace Learning for Multi-label Classification.
Lei ZhangYao ZhaoZhenfeng ZhuPublished in: CVM (2012)
Keyphrases
- subspace learning
- multi label classification
- subspace learning algorithm
- multi label
- semi supervised
- semi supervised learning
- dimensionality reduction
- data representation
- manifold learning
- text categorization
- face recognition
- image annotation
- binary classification
- principal component analysis
- incremental principal component analysis
- classification algorithm
- sparse coding
- multi class
- binary classifiers
- high dimensional data
- low dimensional
- sparse representation
- learning algorithm
- unsupervised learning
- text classification
- image classification
- learning tasks
- pairwise
- labeled data
- dimension reduction
- co occurrence
- supervised learning
- high dimensional
- object recognition
- pattern recognition
- multiscale
- feature extraction
- data sets