Robust Meta-Representation Learning via Global Label Inference and Classification.
Ruohan WangJohn Isak Texas FalkMassimiliano PontilCarlo CilibertoPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- incremental learning
- feature construction
- robust classification
- dynamic bayesian networks
- prior knowledge
- pattern recognition
- machine learning
- discriminative learning
- learning problems
- learning tasks
- unsupervised learning
- supervised learning
- classification accuracy
- feature representation
- support vector
- active learning
- structured output
- machine learning algorithms
- learning systems
- class labels
- dictionary learning
- learning phase
- feature extraction
- multi label learning
- learning process