A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization.
Hanyang PengYong FanPublished in: AAAI (2017)
Keyphrases
- least squares
- feature selection
- orthogonal matching pursuit
- error minimization
- feature selection algorithms
- objective function
- sparse representation
- text categorization
- mutual information
- selected features
- norm minimization
- support vector
- half quadratic
- high dimensional
- sparsity constraints
- unsupervised feature selection
- feature selection and classification
- singular value decomposition
- sparse reconstruction
- information gain
- multi task
- discriminative features
- feature subset
- feature set
- feature extraction
- support vector machine
- knn
- optical flow
- feature space
- kernel methods
- irrelevant features
- image classification
- tikhonov regularization
- data sets