Classification via semi-supervised multi-random subspace sparse representation.
Zhuang ZhaoLianfa BaiYi ZhangJing HanPublished in: Signal Image Video Process. (2019)
Keyphrases
- sparse representation
- dictionary learning
- semi supervised
- image classification
- subspace learning
- sparse coding
- classifier fusion
- supervised learning
- manifold learning
- image patches
- image representation
- feature extraction
- dimensionality reduction
- signal processing
- feature representation
- face recognition
- random projections
- subspace methods
- feature selection
- unsupervised learning
- support vector
- feature space
- classification accuracy
- support vector machine
- neural network
- multi view
- pattern recognition
- feature vectors
- ensemble methods
- feature set
- support vector machine svm
- semi supervised learning
- text classification
- nearest neighbor
- svm classifier
- labeled and unlabeled data
- decision trees
- labeled data