Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.
Zheng WangFeiping NieLai TianRong WangXuelong LiPublished in: IJCAI (2020)
Keyphrases
- subspace learning
- feature selection
- dimensionality reduction
- sparse coding
- discriminative subspace
- sparse representation
- unsupervised learning
- low rank approximation
- discriminative features
- semi supervised
- feature extraction
- feature space
- high dimensional
- manifold learning
- principal component analysis
- data representation
- high dimensionality
- face recognition
- text classification
- low dimensional
- linear combination
- high dimensional data
- feature set
- natural images
- linear subspace
- knn
- support vector
- dimension reduction
- model selection
- support vector machine
- data mining
- image classification
- canonical correlations
- subspace learning algorithm
- learning algorithm
- generative model
- multi task
- pattern recognition