Deep Active Ensemble Sampling for Image Classification.
Salman MohamadiGianfranco DorettoDonald A. AdjerohPublished in: ACCV (7) (2022)
Keyphrases
- image classification
- imbalanced data
- bag of words
- image representation
- neural network
- ensemble learning
- feature extraction
- visual features
- ensemble methods
- image features
- sampling methods
- sampling algorithm
- class specific
- random forest
- bag of features
- random forests
- training data
- classifier ensemble
- random sampling
- multi label
- feature selection
- monte carlo
- sparse representation
- text categorization
- markov chain
- learning algorithm