Supervised learning of sparse context reconstruction coefficients for data representation and classification.
Xuejie LiuJingbin WangMing YinBenjamin EdwardsPeijuan XuPublished in: Neural Comput. Appl. (2017)
Keyphrases
- sparse representation
- data representation
- supervised learning
- dimensionality reduction
- sparsity constraints
- compressed sensing
- compressive sensing
- feature construction
- unsupervised learning
- pattern recognition
- discriminative information
- supervised machine learning
- training set
- class labels
- feature extraction
- machine learning
- feature space
- learning algorithm
- semi supervised
- semi supervised learning
- data representations
- high dimensional
- reinforcement learning
- labeled data
- image reconstruction
- databases
- training samples
- feature selection
- feature vectors
- learning tasks
- object oriented
- tensor decomposition
- decision trees
- data mining
- knowledge base
- text classification
- data sources