Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks.
Tzung-Pei HongMing-Jhe HuTank-Kai YinShyue-Liang WangPublished in: IEEE BigData (2020)
Keyphrases
- neural network
- multiscale
- image processing
- pattern recognition
- multi layer
- back propagation
- natural images
- scale space
- fuzzy logic
- multiple scales
- automatically extracting
- genetic algorithm
- neural network model
- self organizing maps
- recurrent neural networks
- coarse to fine
- optic flow
- fault diagnosis
- image representation
- artificial neural networks
- fast fourier transform
- mesh connected
- data extraction
- radial basis function
- learning rules
- training process
- neural nets
- feed forward
- artificial intelligence
- machine learning