Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning.
Qiang SunLiting WangMaohui LiLongtao ZhangJiaxiao LiShiqian WangPublished in: ICBTA (2021)
Keyphrases
- correlation analysis
- multiple kernel learning
- image classification
- kernel learning
- linear combination
- feature selection
- similarity measure
- image retrieval
- probabilistic model
- factor analysis
- multi task
- computer vision
- small number
- data sets
- discriminant analysis
- association rules
- pattern recognition
- decision trees
- clustering algorithm