Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks.
Pablo Martin-RamiroUnai Sainz de la MazaRoman OrusSamuel MugelPublished in: CoRR (2024)
Keyphrases
- defect detection
- convolutional neural networks
- convolutional network
- high order
- feature extraction
- manufacturing systems
- higher order
- automated visual inspection
- textured surfaces
- ensemble methods
- manufacturing processes
- diffusion tensor
- manufacturing process
- feature selection
- quality control
- weak learners
- product design
- combining multiple
- tensor product
- boosting algorithms
- adaboost algorithm
- semiconductor manufacturing
- dimensionality reduction
- feature space
- image processing
- learning algorithm