Explainable machine learning in image classification models: An uncertainty quantification perspective.
Xiaoge ZhangFelix T. S. ChanSankaran MahadevanPublished in: Knowl. Based Syst. (2022)
Keyphrases
- classification models
- machine learning
- image data
- input image
- decision trees
- single image
- image features
- feature selection
- multiscale
- image classification
- high resolution
- image segmentation
- learning algorithm
- image retrieval
- data mining
- machine learning methods
- artificial neural networks
- pattern recognition
- training data
- active learning
- feature vectors
- feature set
- object recognition
- similarity measure
- models built