A novel dimension reduction and dictionary learning framework for high-dimensional data classification.
Yanxia LiYi ChaiHan ZhouHongpeng YinPublished in: Pattern Recognit. (2021)
Keyphrases
- dimension reduction
- high dimensional data
- dictionary learning
- sparse representation
- low dimensional
- high dimensional data analysis
- high dimensionality
- high dimensional
- dimensionality reduction
- feature extraction
- principal component analysis
- variable selection
- random projections
- nearest neighbor
- sparse coding
- subspace clustering
- manifold learning
- data sets
- feature selection
- feature space
- linear discriminant analysis
- data points
- data analysis
- input data
- small sample size
- preprocessing
- similarity search
- image classification
- lower dimensional
- singular value decomposition
- machine learning
- unsupervised learning
- cluster analysis
- subspace learning
- dimensionality reduction methods
- image data
- image patches
- support vector machine
- low rank
- intrinsic dimension
- database