Efficient Sparse Representation for Learning With High-Dimensional Data.
Jie ChenShengxiang YangZhu WangHua MaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- high dimensional data
- sparse representation
- dictionary learning
- dimensionality reduction
- low dimensional
- data sets
- subspace clustering
- sparse coding
- subspace learning
- data analysis
- nearest neighbor
- high dimensional
- high dimensionality
- similarity search
- clustering high dimensional data
- manifold learning
- learning algorithm
- image representation
- supervised learning
- learning tasks
- original data
- face recognition
- unsupervised learning
- high dimensional spaces
- random projections
- data points
- dimension reduction
- linear discriminant analysis
- image classification
- image patches
- pattern recognition
- input space
- image data
- lower dimensional
- data mining
- neural network