Deep active learning for image classification.
Hiranmayi RanganathanHemanth VenkateswaraShayok ChakrabortySethuraman PanchanathanPublished in: ICIP (2017)
Keyphrases
- image classification
- active learning
- bag of words
- image representation
- image features
- learning strategies
- visual features
- feature extraction
- random sampling
- visual words
- sparse representation
- learning algorithm
- labeled data
- selective sampling
- pool based active learning
- machine learning
- training examples
- unlabeled data
- learning process
- imbalanced data classification
- active learning strategies
- semi supervised
- multi label
- sample selection
- sparse coding
- batch mode
- deep learning
- bag of features
- experimental design
- annotation effort
- training set
- supervised learning
- text classification
- class imbalance
- training data
- image processing
- active learning framework
- computer vision
- text categorization