Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification.
Amey ChawareColin L. V. CookeKanghyun KimRoarke HorstmeyerPublished in: ICASSP (2020)
Keyphrases
- classification accuracy
- small sample
- decision trees
- classification scheme
- pattern recognition
- machine learning
- classification systems
- automatic classification
- feature vectors
- support vector machine
- training samples
- classification models
- pattern classification
- classification algorithm
- feature space
- receiver operating characteristic curves
- data sets
- sample size
- decision rules
- feature analysis
- feature selection
- feature extraction
- support vector
- cost sensitive
- cross validated
- learning phase
- object recognition
- worst case
- training set
- classification method
- supervised learning
- single image
- image classification