Active Learning with Ensembles for Image Classification.
Huan LiuAmit MandvikarPatricia G. FoschiKari TorkkolaPublished in: IJCAI (2003)
Keyphrases
- image classification
- active learning
- bag of words
- decision trees
- feature extraction
- learning algorithm
- training examples
- image features
- supervised learning
- selective sampling
- machine learning
- semi supervised
- learning strategies
- image representation
- labeled data
- neural network ensemble
- relevance feedback
- random sampling
- learning process
- experimental design
- ensemble methods
- sparse representation
- pool based active learning
- multi label
- base classifiers
- training set
- bag of features
- ensemble selection
- imbalanced data classification
- visual words
- cost sensitive
- ensemble learning
- transfer learning
- semi supervised learning
- class specific
- classifier ensemble
- reinforcement learning
- training data
- computer vision