Large Margin Subspace Learning for feature selection.
Bo LiuBin FangXinwang LiuJie ChenZhenghong HuangXiping HePublished in: Pattern Recognit. (2013)
Keyphrases
- subspace learning
- feature selection
- dimensionality reduction
- support vector
- learning algorithm
- data representation
- manifold learning
- principal component analysis
- sparse representation
- high dimensional data
- low dimensional
- high dimensionality
- machine learning
- face recognition
- feature space
- semi supervised
- feature extraction
- subspace learning algorithm
- pattern recognition
- maximum margin criterion
- unsupervised learning
- multiscale
- dimension reduction
- text classification
- small number
- labeled data
- model selection
- linear discriminant analysis
- sparse coding
- prior knowledge
- decision trees
- data points