Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification.
Pengyu YuanAryan MobinyJahandar JahanipourXiaoyang LiPietro Antonio CicaleseBadrinath RoysamVishal M. PatelMaric DraganHien Van NguyenPublished in: MICCAI (1) (2020)
Keyphrases
- meta learning
- machine learning algorithms
- model selection
- decision trees
- inductive learning
- classification accuracy
- machine learning
- meta knowledge
- supervised learning
- feature selection
- learning tasks
- feature extraction
- machine learning methods
- image classification
- text classification
- support vector machine
- feature space
- unsupervised learning
- benchmark datasets
- support vector
- feature set
- svm classifier
- base classifiers