CORE: Learning consistent ordinal representations with convex optimization for image ordinal estimation.
Yiming LeiZilong LiYangyang LiJunping ZhangHongming ShanPublished in: Pattern Recognit. (2024)
Keyphrases
- convex optimization
- multiscale
- input image
- learning algorithm
- image classification
- image features
- high resolution
- supervised learning
- interior point methods
- blind deconvolution
- reinforcement learning
- objective function
- machine learning
- image representation
- learning tasks
- learning problems
- total variation
- similarity measure
- primal dual
- feature extraction
- computer vision
- convex optimization problems