Shape Deviation Generator - A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy.
Qiang HuangYuanxiang WangMingdong LyuWeizhi LinPublished in: IEEE Trans Autom. Sci. Eng. (2020)
Keyphrases
- learning algorithm
- learning scheme
- shape descriptors
- shape model
- learning process
- active learning
- learning mechanism
- shape features
- learning systems
- reinforcement learning
- shape analysis
- knowledge acquisition
- online learning
- prediction accuracy
- design principles
- multi task
- medial axis
- object detectors
- high accuracy
- learning frameworks