Image-on-Scalar Regression via Deep Neural Networks.
Daiwei ZhangLexin LiChandra SripadaJian KangPublished in: CoRR (2020)
Keyphrases
- neural network
- image data
- input image
- vector valued
- image features
- single image
- multiscale
- image analysis
- image classification
- image representation
- image content
- image matching
- pattern recognition
- region of interest
- hough transform
- genetic algorithm
- radial basis function network
- image pixels
- image collections
- template matching
- spatial information
- image retrieval
- low level
- image segmentation
- lighting conditions
- pixel values
- similarity measure
- keypoints
- back propagation
- bayesian framework
- image compression
- artificial neural networks