Inductive conformal predictor for convolutional neural networks: Applications to active learning for image classification.
Sergio MatizKenneth E. BarnerPublished in: Pattern Recognit. (2019)
Keyphrases
- convolutional neural networks
- image classification
- active learning
- machine learning
- convolutional network
- inductive learning
- image representation
- image features
- random sampling
- feature extraction
- supervised learning
- bag of words
- learning strategies
- neural network
- semi supervised
- learning algorithm
- visual words
- imbalanced data classification
- sparse representation
- training examples
- pool based active learning
- active learning strategies
- selective sampling
- multi label
- relevance feedback
- learning process
- bag of features
- class specific
- cost sensitive
- inductive logic programming
- knowledge representation
- training set
- deductive reasoning
- training data