Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification.
Yulong WangYuan Yan TangCuiming ZouLuoqing LiHong ChenPublished in: Neurocomputing (2020)
Keyphrases
- linear combination
- greedy algorithm
- signal recovery
- sparse coding
- orthogonal matching pursuit
- dictionary learning
- greedy strategy
- greedy algorithms
- feature extraction
- dynamic programming
- worst case
- clustering algorithm
- unsupervised learning
- compressed sensing
- high dimensionality
- machine learning
- text classification
- feature vectors
- feature selection
- high dimensional
- objective function
- model selection
- regression model
- structured sparsity
- sparse representation
- dimension reduction
- document clustering
- cross validation
- image processing
- upper bound
- np hard
- image segmentation