Weighted ensemble learning prediction for blind symmetrically distorted stereoscopic images.
Da PanPing ShiDixiu ZhongMing HouZefeng YingSizhe FuPublished in: ICSAI (2017)
Keyphrases
- ensemble learning
- stereoscopic images
- ensemble classifier
- ensemble methods
- prediction accuracy
- generalization ability
- image sequences
- neural network
- concept drift
- random forest
- prediction model
- depth map
- visual attention
- stereo camera
- unlabeled data
- image quality metrics
- benchmark datasets
- non stationary
- base classifiers
- supervised learning
- disparity map
- prior knowledge
- high dimensional
- training data
- feature selection
- data sets