Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR).
Kyle D. FeuzDiane J. CookPublished in: ACM Trans. Intell. Syst. Technol. (2015)
Keyphrases
- feature space
- transfer learning
- feature vectors
- feature set
- learning tasks
- knowledge transfer
- multiple features
- labeled data
- cross domain
- high dimensional
- feature extraction
- machine learning
- kernel methods
- dimensionality reduction
- feature selection
- classification accuracy
- manifold alignment
- reinforcement learning
- domain adaptation
- high dimensionality
- principal component analysis
- active learning
- data points
- training set
- image retrieval
- training samples
- semi supervised learning
- image representation
- collaborative filtering
- target domain
- learning algorithm
- transfer knowledge
- text categorization
- text classification
- kernel function
- input space
- machine learning algorithms
- low dimensional
- text mining
- transferring knowledge
- unlabeled data
- sparse coding
- metric learning
- lower dimensional
- mercer kernels
- multi task
- hyperplane
- information extraction
- support vector machine
- knowledge discovery
- similarity measure
- information retrieval