Nonlinear feature selection using sparsity-promoted centroid-encoder.
Tomojit GhoshMichael KirbyPublished in: Neural Comput. Appl. (2023)
Keyphrases
- feature selection
- text categorization
- high dimension
- sparse representation
- support vector
- mutual information
- high dimensional
- machine learning
- motion estimation
- model selection
- feature space
- small sample
- feature selection algorithms
- information gain
- classification models
- low complexity
- high dimensionality
- rate distortion
- text classification
- dimensionality reduction
- multi class
- classification accuracy
- dimension reduction
- variable selection
- video compression
- support vector machine
- k means
- unsupervised feature selection
- error control