Feature selection via kernel sparse representation.
Zhizheng LvYangding LiJieye LiPublished in: SSCI (2019)
Keyphrases
- sparse representation
- feature selection
- feature space
- dimensionality reduction
- regularized least squares
- dictionary learning
- support vector
- sparse coding
- kernel learning
- image classification
- random projections
- kernel function
- face recognition
- feature extraction
- image representation
- negative matrix factorization
- compressive sensing
- kernel methods
- multiple kernel learning
- multi task
- text classification
- compressed sensing
- image patches
- joint optimization
- signal processing
- kernel matrix
- high dimensional data
- sparse approximations
- high dimensionality
- pattern recognition
- feature set
- multi class
- data points
- machine learning
- feature subset
- subspace learning
- support vector machine
- test images
- learning tasks
- multiscale
- positive definite
- image processing
- gaussian processes
- unsupervised feature selection
- sparsity constraints
- data sets