Hierarchical Feature Selection for Random Projection.
Qi WangJia WanFeiping NieBo LiuChenggang YanXuelong LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- random projections
- feature selection
- dimensionality reduction
- dimension reduction
- high dimensionality
- compressed sensing
- unsupervised learning
- lossy image compression
- random sampling
- text categorization
- principal component analysis
- sparse representation
- image reconstruction
- data sets
- hash functions
- original data
- high dimensional data
- pattern recognition
- feature space
- support vector machine
- singular value decomposition
- feature set
- support vector
- information retrieval
- high dimensional
- machine learning
- neural network
- natural language processing