Meta-Learning for Multi-Label Few-Shot Classification.
Christian SimonPiotr KoniuszMehrtash HarandiPublished in: CoRR (2021)
Keyphrases
- multi label
- meta learning
- learning tasks
- multi label classification
- image classification
- class labels
- text classification
- text categorization
- decision trees
- model selection
- image annotation
- feature selection
- machine learning algorithms
- machine learning
- graph cuts
- classification accuracy
- binary classification
- base learners
- supervised learning
- feature vectors
- training set
- feature extraction
- support vector
- classification algorithm
- base classifiers
- inductive learning
- cost sensitive
- training data
- image processing
- feature space
- benchmark datasets
- visual features
- data mining
- learning algorithm
- neural network
- svm classifier
- support vector machine svm
- unsupervised learning
- data model