Learning incoherent subspaces for classification via supervised iterative projections and rotations.
Daniele BarchiesiMark D. PlumbleyPublished in: MLSP (2013)
Keyphrases
- supervised learning
- incremental learning
- learning algorithm
- unsupervised learning
- machine learning
- learning tasks
- classification accuracy
- supervised classification
- learning process
- reinforcement learning
- iterative learning
- labeled and unlabeled data
- weakly supervised
- learning systems
- decision trees
- online learning
- text classification
- active learning
- feature extraction
- image classification
- prior knowledge
- support vector
- learning phase
- learning environment
- low dimensional
- three dimensional
- knn
- labeled data
- training set
- data sets
- radon transform
- feature space