K-Covers for Active Learning in Image Classification.
Yeji ShenYuhang SongHanhan LiShahab KamaliBin WangC.-C. Jay KuoPublished in: ICME Workshops (2019)
Keyphrases
- image classification
- active learning
- image representation
- feature extraction
- image features
- bag of words
- visual features
- multi label
- random sampling
- learning strategies
- training examples
- supervised learning
- learning algorithm
- unlabeled data
- learning process
- visual words
- selective sampling
- training set
- pool based active learning
- machine learning
- class specific
- experimental design
- sparse representation
- labeled data
- active learning strategies
- annotation effort
- imbalanced data classification
- music emotion classification
- sparse coding
- relevance feedback
- bag of features
- book covers
- sample selection
- remotely sensed data
- semi supervised
- image processing
- information retrieval
- data mining
- neural network