Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification.
Folami AlamudunJacob D. HinkleSajal DashBenjamín HernándezAristeidis TsarisHong-Jun YoonPublished in: Big Data (2022)
Keyphrases
- multiple instance
- image classification
- domain knowledge
- multiple instance learning
- knowledge representation
- learning problems
- image representation
- visual features
- ensemble learning
- concept learning
- real valued
- semi supervised learning
- multi modal
- knowledge acquisition
- knowledge base
- learning algorithm
- background knowledge
- multi class
- training data
- decision trees
- regression problems