Deep Active Ensemble Sampling For Image Classification.
Salman MohamadiGianfranco DorettoDonald A. AdjerohPublished in: CoRR (2022)
Keyphrases
- image classification
- imbalanced data
- feature extraction
- bag of words
- ensemble learning
- image representation
- neural network
- image features
- visual features
- svm classifier
- random sampling
- visual words
- sampling strategy
- data sets
- multi label
- feature selection
- parameter space
- base classifiers
- monte carlo
- sample size
- markov chain monte carlo
- class specific
- learning algorithm