Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification.
Yannick EmondsKai XiHolger FröningPublished in: CoRR (2024)
Keyphrases
- image classification
- neural network
- auto associative
- noise level
- associative memory
- random noise
- pattern recognition
- feature extraction
- image representation
- back propagation
- bag of words
- artificial neural networks
- fuzzy systems
- missing data
- noisy environments
- computing power
- noise model
- memory requirements
- signal to noise ratio
- sparse representation
- noisy data
- feed forward
- sparse coding
- noise reduction
- multi layer
- image features
- fuzzy logic
- memory usage
- image noise
- genetic algorithm
- memory size
- input data
- operating system
- class specific
- additive noise
- bag of features
- gaussian noise
- self organizing maps
- radial basis function